693 Dreese Laboratories
2015 Neil Ave
Columbus, OH 43210
Phone: (614) 292-2568
Email: parthasarathy.2@osu.edu
URL: http://www.cse.ohio-state.edu/~srini/
Associate Professor, Computer Science & Engineering
Associate Professor, Biomedical Informatics
Y.C. Fang, F. Schwartz and S. Parthasarathy. 2001. "Data Mining in Geoscience Research." Abstract. Geological Society of America, Annual Meeting. [Peer Reviewed]
M.Twa, M. Bullimore, and S. Parthasarathy. 2003. "Application of Data Mining to Analysis of Corneal Shape." Abstract. Mopane Conference on Astigmatism, Aberrations and Vision. [Peer Reviewed]
K. Marsolo, S. Parthasarathy, C. Wang, H. Li and D. Polshakov,. 2004. "MotifMiner++: A high performance toolkit for mining and aligning bio-molecular structures." International Conference on Intelligent Systems for Molecular Biology (ISMB). Poster. [Peer Reviewed]
D. Polshakov, K. Marsolo and S. Parthasarathy. 2005. "Mining 3D-Motifs Using Physical-Chemical Constraints: Application to Cardiolipin-Binding Sites." 13th International Conference on Intelligent Systems for Molecular Biology (ISMB). Poster. [Peer Reviewed]
D. Ucar, S. Javaid and S. Parthasarathy. 2005. "Effective Information Integration from Disparate Microarray Datasets." 13th International Conference on Intelligent Systems for Molecular Biology (ISMB). Poster. [Peer Reviewed]
M.D. Twa, S. Parthasarathy, C. Roberts, A. Mahmoud, M. A. Bullimore,. 2005. "Automated Decision Tree Classification of Keratoconus from Videokeratography." Abstract. Investigative Ophtalmology and Vision Science. [Peer Reviewed]
D. Ucar, F. Altiparmak, H. Ferhatosmanoglu, S. Parthasarathy. 2008. "Investigating the promise of extrinsic similarity measures for gene expression analysis." Abstract. 12th Annual International Conference on Research in Computational Molecular Biology. Poster. [Peer Reviewed]
| 2000 - 2006 | Hui Yang. A general framework for mining spatial and spatio-temporal object association patterns in scientific data. The Ohio State University, Columbus, OH. Graduated: . Current Position: Assistant Professor, San Francisco State University Noteworthy Accomplishments: Co-author on a paper that won an award at SIAM Data Mining 2005. |
| 2001 - 2006 | Sameep Mehta. Realizing a feature-based framework for scientific data mining. The Ohio State University, Columbus, OH. Graduated: . Current Position: IBM Research Laboratories Noteworthy Accomplishments: Lead student author on a paper that won an award at SIAM Data Mining 2005. |
| 2001 - 2006 | Matthew Otey. Approaches to abnormality detection with constraints. The Ohio State University, Columbus, OH. Graduated: . Current Position: Research Scientist, Google Pittsburgh |
| 2002 - 2007 | Keith Marsolo. A workflow for the modeling and analysis of biomedical data. The Ohio State University, Columbus, OH. Graduated: . Current Position: Assistant Professor, University of Cincinnati and Cincinnati Children's Hospital Noteworthy Accomplishments: Lead student author on a paper honor/award at IEEE Conference on Data Mining in 2006. Winner of an NSF EAPSI Fellowship. Departmental research award in 2007. |
| 2002 - 2007 | Amol Ghoting. Memory- and knowledge-conscious data mining. The Ohio State University, Columbus, OH. Graduated: . Current Position: Research Staff Member, IBM Research Noteworthy Accomplishments: Lead student author of a paper that won the best research paper award from VLDB 2005. Co-author on a paper that was nominated for an award at KDD 2006. Winner of an IBM PhD Fellowship (worldwide highly competitive award) for PhD candidates. Departmental research award in 2006. |
| 2002 - 2008 | Chao Wang. Exploiting non-redundant local patterns and probabilistic models for analyzing structured and semi-structured data. The Ohio State University, Columbus, OH. Graduated: . Current Position: Researcher, Yahoo! Applied Research Laboratories |
| 2003 - 2008 | Gregory Buehrer. Scalable mining on emerging architectures. The Ohio State University, Columbus, OH. Graduated: . Current Position: Researcher, Microsoft Research Live Laboratories Noteworthy Accomplishments: Co-author on a paper that won a best paper award at VLDB 2005. Lead student author on a paper that was nominated for an award at KDD 2006. Won a prestigious MSR Fellowship for doctoral studies (the first and only such award granted to an OSU graduate to date) for work done pre-candidacy. Winner of a departmental research award in 2008. |
| 2003 - 2009 | Sitaram Asur. The Ohio State University, Columbus, OH. Graduated: . Current Position: Computing Innovation Fellow, HP Research Laboratories Noteworthy Accomplishments: Lead student author on a best paper award at SIGKDD 2007. Won a prestigious Computing Innovation Fellowship (60/526 PhD graduates nationwide won the award). Winner of a departmental research award in 2009. |
| 2003 - 2009 | Duygu Ucar. The Ohio State University, Columbus, OH. Graduated: . Current Position: Computing Innovation Fellow, University of Iowa Noteworthy Accomplishments: Co-author on a best paper award from SIGKDD 2007. Lead student author on a paper nominated for an award at ISMB 2009. Won a prestigious Computing Innovation Fellowship (60/526 PhD graduates nationwide won the award). |
| 2004 - present | Shirish Tatikonda. The Ohio State University, Columbus, OH. |
| 2006 - present | Venu Satuluri. The Ohio State University, Columbus, OH. |
| 2006 - present | Xintian Yang. The Ohio State University, Columbus, OH. |
| 2008 - present | Ye Wang. The Ohio State University, Columbus, OH. |
| 2009 - present | Tyler Clemons. The Ohio State University, Columbus, OH. |
| 2000 - 2004 | Y. C. Fang. The Ohio State University, Columbus, OH. Graduated: . |
| 2001 - 2004 | Darius Buntinas. The Ohio State University, Columbus, OH. Graduated: . |
| 2001 - 2006 | Michael Twa. The Ohio State University, Columbus, OH. Graduated: . Noteworthy Accomplishments: Lead student author on a best paper award from SIAM Data Mining 2003. Winner of an NIH K-Award (in which I am listed as one of his 3 primary mentors). |
| 2002 - 2004 | J. Wu. The Ohio State University, Columbus, OH. Graduated: . |
| 2002 - 2004 | J. Liu. The Ohio State University, Columbus, OH. Graduated: . |
| 2002 - 2005 | B. Cobanov. The Ohio State University, Columbus, OH. Graduated: . |
| 2002 - 2005 | R. Jin. The Ohio State University, Columbus, OH. Graduated: . |
| 2003 - 2005 | Qianqiu Li. The Ohio State University, Columbus, OH. Graduated: . |
| 2003 - 2005 | M. Pillai. The Ohio State University, Columbus, OH. Graduated: . |
| 2004 - 2007 | Sriram Krishnamoorthy. The Ohio State University, Columbus, OH. Graduated: . |
| 2004 - 2007 | Abhinav Vishnu. The Ohio State University, Columbus, OH. Graduated: . |
| 2004 - 2007 | Ozgur Ozturk. The Ohio State University, Columbus, OH. Graduated: . |
| 2004 - 2008 | Fatih Altiparmak. The Ohio State University, Columbus, OH. Graduated: . |
| 2005 - present | Xi Zhang. The Ohio State University, Columbus, OH. |
| 2005 - 2007 | Sayantan Sur. The Ohio State University, Columbus, OH. Graduated: . |
| 2008 - 2006 | Ranjit Noronha. The Ohio State University, Columbus, OH. Graduated: . |
| 2009 - present | Qi Gao. The Ohio State University, Columbus, OH. |
| 2000 - 2006 | Hui Yang. The Ohio State University, Columbus, OH. Graduated: . |
| 2001 - 2006 | Sameep Mehta. The Ohio State University, Columbus, OH. Graduated: . |
| 2001 - 2006 | Mathew Otey. The Ohio State University, Columbus, OH. Graduated: . |
| 2002 - 2007 | Amol Ghoting. The Ohio State University, Columbus, OH. Graduated: . |
| 2002 - 2007 | Keith Marsolo. The Ohio State University, Columbus, OH. Graduated: . |
| 2002 - 2008 | Gregory Buehrer. The Ohio State University, Columbus, OH. Graduated: . |
| 2002 - 2008 | Chao Wang. The Ohio State University, Columbus, OH. Graduated: . |
| 2003 - 2009 | Duygu Ucar. The Ohio State University, Columbus, OH. Graduated: . |
| 2003 - 2009 | Sitaram Asur. The Ohio State University, Columbus, OH. Graduated: . |
| 2004 - 2007 | Shirish Tatikonda. The Ohio State University, Columbus, OH. |
| 2006 - present | Xintian Yang. The Ohio State University, Columbus, OH. |
| 2006 - present | Venu Satuluri. The Ohio State University, Columbus, OH. |
| 2008 - present | Ye Wang. The Ohio State University, Columbus, OH. Noteworthy Accomplishments: OSU Presidential Fellowship 2008-2009. |
| 2009 - present | Tyler Clemons. The Ohio State University, Columbus, OH. |
| 2000 | Ming Te Sun. The Ohio State University, Columbus, OH. Graduated: . |
| 2000 - 2004 | Y. C. Fang. The Ohio State University, Columbus, OH. Graduated: . |
| 2001 | Dong Zhou. The Ohio State University, Columbus, OH. Graduated: . |
| 2001 - 2004 | Darius Buntinas. The Ohio State University, Columbus, OH. Graduated: . |
| 2001 - 2006 | Michael Twa. The Ohio State University, Columbus, OH. Graduated: . |
| 2002 - 2004 | J. Wu. The Ohio State University, Columbus, OH. Graduated: . |
| 2002 - 2004 | J. Liu. The Ohio State University, Columbus, OH. Graduated: . |
| 2002 - 2005 | B. Cobanov. The Ohio State University, Columbus, OH. Graduated: . |
| 2002 - 2005 | M. Pillai. The Ohio State University, Columbus, OH. Graduated: . |
| 2002 - 2005 | R. Jin. The Ohio State University, Columbus, OH. Graduated: . |
| 2003 | Yingjie Li. The Ohio State University, Columbus, OH. |
| 2003 - 2005 | Qianqiu Li. The Ohio State University, Columbus, OH. Graduated: . |
| 2004 - 2007 | Sriram Krishnamoorthy. The Ohio State University, Columbus, OH. Graduated: . |
| 2004 - 2007 | Abhinav Vishnu. The Ohio State University, Columbus, OH. Graduated: . |
| 2004 - 2007 | Ozgur Ozturk. The Ohio State University, Columbus, OH. Graduated: . |
| 2004 - 2008 | Fatih Altiparmak. The Ohio State University, Columbus, OH. Graduated: . |
| 2005 - 2007 | Xi Zhang. The Ohio State University, Columbus, OH. |
| 2005 - 2007 | Sayantan Sur. The Ohio State University, Columbus, OH. Graduated: . |
| 2005 - 2008 | Amith Mamidala. The Ohio State University, Columbus, OH. Graduated: . |
| 2006 - 2008 | Ranjit Noronha. The Ohio State University, Columbus, OH. Graduated: . |
| 2006 - 2008 | Tan Apaydin. The Ohio State University, Columbus, OH. Graduated: . |
| 2007 | Le Thang Nam. The Ohio State University, Columbus, OH. |
| 2007 | G. Santhanaraman. The Ohio State University, Columbus, OH. Graduated: . |
| 2009 - present | Qi Gao. The Ohio State University, Columbus, OH. |
| 2001 - 2004 | Michael Twa. The Ohio State University, Columbus, OH. Graduated: . |
| 2002 - 2004 | Arun Ramakrishnan. The Ohio State University, Columbus, OH. Graduated: . |
| 2002 - 2004 | R. Sundaresan. The Ohio State University, Columbus, OH. |
| 2003 - 2004 | Amit Singh. The Ohio State University, Columbus, OH. Graduated: . |
| 2000 - 2002 | Hui Yang. Web usage mining : on the use of constrained association rules. The Ohio State University, Columbus, OH. Graduated: . Current Position: Assistant Professor, San Francisco State University |
| 2000 - 2003 | Amol Kandalgaonkar. Enhancing an intrusion detection system framework using selective feedback. The Ohio State University, Columbus, OH. Current Position: Software Engineer/Consultant New Jersey Area |
| 2001 - 2003 | Weiwei Shi. The application of association mining on biological datasets. The Ohio State University, Columbus, OH. Graduated: . Current Position: Developer, Open Data Group |
| 2001 - 2003 | Benjamin Rutt. Exploiting repetitive usage patterns to enhance filesystem and application performance. The Ohio State University, Columbus, OH. Graduated: . Current Position: Software Consultant, Wall Street Firm |
| 2001 - 2003 | Matthew Coatney. MotifMiner : a scalable, extensible framework for discovery of frequent substructures in diverse molecular domains. The Ohio State University, Columbus, OH. Graduated: . Current Position: Manager, Bearing Point Inc. Noteworthy Accomplishments: Co-authored several articles and was a co-author on a best paper award from IEEE ICDM in 2002. Implemented the MotifMiner system. |
| 2001 - 2005 | Keith Marsolo. Spatial modeling and classification of corneal shape. The Ohio State University, Columbus, OH. Graduated: . Current Position: Assistant Professor, University of Cincinnati and Cincinnati Children's Hospital |
| 2002 - 2004 | Ying Li. Restructuring and mining of the Lipid Data Bank (LDB). The Ohio State University, Columbus, OH. Graduated: . |
| 2003 - 2005 | Huai Wang. Design of a next generation sampling service for large scale data analysis applications. The Ohio State University, Columbus, OH. Graduated: . Current Position: Researcher, Facebook Noteworthy Accomplishments: OSU Fellowship 2003-2004. |
| 2003 - 2005 | Pichai Raman. Critical Micelle Concentration Database and Protein Crystallization Analysis. The Ohio State University, Columbus, OH. Graduated: . Current Position: Pfizer Inc. |
| 2004 - 2005 | Dmitrii Polshakov. Data mining for protein structure analysis and crystallization trials using physical chemical constrains. The Ohio State University, Columbus, OH. Graduated: . Current Position: Postdoctoral Researcher, The Ohio State University |
| 2005 - 2007 | Jingjing He. A toolkit for anomaly detection on dynamic data. The Ohio State University, Columbus, OH. Graduated: . Current Position: Doctoral Student, NYU Business School |
| 2005 - 2007 | Khusbu Agarwal. A partition based approach to approximate tree mining : a memory hierarchy perspective. The Ohio State University, Columbus, OH. Graduated: . Current Position: Researcher, Pacific Northwest Laboratories (DOE) Noteworthy Accomplishments: OSU Fellowship 2005-2006 |
| 2007 - present | Matthew Goyder. The Ohio State University, Columbus, OH. |
| 2007 - present | Maheshweta Das. The Ohio State University, Columbus, OH. Noteworthy Accomplishments: Was the lead student author on an award paper at the Sensor data mining workshop held along with SIGKDD in 2009. |
| 2000 - 2003 | Reetesh Rathi. The Ohio State University, Columbus, OH. Graduated: . |
| 2002 - 2003 | Adriano Veloso. Universidade Federal de Minas Gerais, Belo Horizonte, |
| 2008 | Nan Wang. National University of Singapore, Singapore, |
| 2008 | Trung Tran. National University of Singapore, Singapore, |
| 2008 | Zhenjie Zhang. National University of Singapore, Singapore, |
| 2008 | Dhaval Patel. National University of Singapore, Singapore, |
| 2009 - present | Carlos Teixeira. Universidade Federal de Minas Gerais, Belo Horizonte, |
| 2009 - present | Nagarajan Krishnamurthy. Chennai Mathematical Institute, Chennai, |
S. Parthasarathy, M. Cierniak, and W. Li. 1996. NetProf: Network-based high-level profiling of Java bytecode. Rochester, NY, USA. (Report No. TR622, University of Rochester)
S. Parthasarathy and R. Subramonian. 2000. Adaptive EM Clustering. Columbus, OH, USA. (Report No. OSU-CISRC-12/00-TR27, Ohio State University Computer Science Technical Report Series)
M. Zaki, S. Parthasarathy, and W. Li. 1997. Customized Dynamic Load Balancing for Cluster Computing. In High Performance Cluster Computing: Architectures and Systems: Volume 1. Edited by R. Buyya. Princeton, NJ, USA: Prentice Hall. 582-607.
M. Zaki, S. Parthasarathy, M. Ogihara and W. Li. 1997. Parallel Algorithms for Discovery of Association Rules. In Scalable High Performance Computing for Knowledge Discovery and Data Mining. Edited by P. Stolorz and R. Musick. Hingham, MA: Kluwer Academic Publishers. Chapter 1.
S. Parthasarathy and R. Subramonian. 2000. Facilitating Data Mining on a Network of Workstations. In Advances in Distributed and Parallel Knowledge Discovery. Edited by P. Chan and H. Kargupta. Boston, MA: MIT/AAAI Press. 229-254.
S. Parthasarathy, M. J. Zaki, M. Ogihara, and S. Dwarkadas. 2000. Sequence Mining in Dynamic and Interactive Environments. In Knowledge Discovery for Business Information Systems. Edited by W. Abramowicz and J. Zurada. USA: Kluwer Academic Publishers. 377-396.
S. Parthasarathy, S. Dwarkadas and M. Ogihara. 2000. Active Mining in a Distributed Setting. In Large-Scale Parallel Data Mining. Lecture Nodes in Computer Science 1759. Edited by M. Zaki and H. Ho. Berlin, Germany: Springer Verlag. 65-82.
H. Yang and S. Parthasarathy. 2002. On the Use of Temporally Constrained Associations for Web Log Mining. In Mining Web Data for Usage Patterns and Profiles. Lecture Notes on Computer Science LNCS/LNAI. Edited by B. Masand et al. Berlin, Germany: Springer Verlag. 100-118.
R. Machiraju, S. Parthasarathy, J. Wilkins, D. Thompson, B. Gatlin, D. Richie, T. Choy, M. Jiang, S. Mehta, M. Coatney, and S. Barr. 2004. Mining of Complex Evolutionary Phenomena. In Next Generation Data Mining. Edited by H. Kargupta, K. Sivakumar and A. Joshi. Boston: MIT Press. Chapter 15.
S. Parthasarathy, A. Ghoting, and M. E. Otey. 2006. A Survey of Distributed Mining of Data Streams. In Data Streams: Models and Algorithms. Edited by C. Aggarwal. Berlin, Germany: Springer-Verlag. 289-308.
S. Parthasarathy, S. Tatikonda, G. Buehrer and A. Ghoting. 2008. Architecture Conscious Data Mining: Current Progress and Future Outllook. In Next Generation Data Mining. Edited by H. Kargupta et al. Boca Raton, Florida, USA: Chapman & Hall -- CRC Publishers. 261-280.
S. Parthasarathy, S. Tatikonda and D. Ucar. A Survey on Mining Biological Graphs. In Graph Mining. Edited by C. Aggarwal. Berlin, Germany: Springer Verlag. (Forthcoming)
| 1992 | B.Eng., University of Roorkee, Electrical Engineering |
| 1994 | M.S., University Of Cincinnati, Electrical and Computer Engineering |
| 1996 | M.S., University of Rochester, Computer Science |
| 2000 | Ph.D., University of Rochester, Computer Science |
C. Apte, B. Liu, S. Parthasarathy and D. Skillicorn, ed. 2007. Proceedings of the 7th SIAM International Conference on Data Mining. Minneapolis, MN, USA: SIAM Press.
H. Park, S. Parthsarathy, H. Liu and Z. Obradavic, ed. 2009. Proceedings of the 9th SIAM International Conference on Data Mining. Reno, Nevada, USA: SIAM Press.
S. Parthasarathy, W. Wang and M. Zaki. 2005. BIOKDD Workshop Report. ACM Special Interest Group on Knowledge Discovery and Data Mining Newsletter. Vol. 7, no. 2. Edited by S. Sarawagi: 129-131. http://portal.acm.org/citation.cfm?doid=1117454.1117472.
M. Zaki, N. Ramakrishnan and S. Parthasarathy. 2008. Guest Editorial: Biological Data Mining. Scientific Programming. Vol. 16, no. 1. Edited by R. Perrot: 3-77. http://www.informatik.uni-trier.de/~ley/db/journals/sp/sp16.html#ZakiRP08.
S. Parthasarathy and B. Liu. 2008. Guest Editorial: Special Issue of Best Papers of SIAM Data Mining 2007. Statistical Analysis and Data Mining : A Journal of the American Statistical Association. Vol. 1, no. 1. Edited by C. Kamath, V. Kumar and A. Goodman: 4-51. http://www.informatik.uni-trier.de/~ley/db/journals/sadm/sadm1.html#ParthasarathyL08.
B-C Ooi and S. Parthasarathy. 2009. Data Management on Cloud Computing Platforms: Guest Editorial. IEEE Technical Bulletin on Data Engineering. Vol. 32, no. 1. Edited by D. Lomet. (March): 1-82. http://www.informatik.uni-trier.de/~ley/db/journals/debu/debu32.html#OoiP09.
| 2009 | SIAM International Conference on Data Mining. (Book) SIAM Press. (May 01, 2009). |
| 2007 | SIAM International Conference on Data Mining. (Book) SIAM Press. (May 01, 2007). |
| 2009 | IEEE Data Engineering Bulletin. (Journal) 32, 1:2. (March 31, 2009). |
| 2009 | Scientific Programming. (Journal) Special Issue on Biological Data Mining, Volume 16, Number 1. (January 31, 2008). |
| 2008 | Statistical Analysis and Data Mining: An American Statistical Association Journal. (Journal) Special Issue on the Best Papers of SIAM Data Mining 2007, Volume 1, Number 1. (September 01, 2008). |
| 2009 - present | IEEE Transactions on Knowledge and Data Engineering. |
| 2009 - present | Statistical Analysis and Data Mining Journal: A journal of the American Statistical Association. |
| 2007 - present | Distributed and Parallel Databases: An International Journal. |
| 2005 - present | International Journal of Data Mining and Bioinformatics. |
| 2005 - present | IEEE Intelligent Systems. |
| 2006 - present | Data Mining and Knowledge Discovery Journal. |
| ACM Transactions on Programming Languages and Systems. |
| ACM Transactions on Database Systems. |
| Knowledge and Information Systems. |
| IEEE Transactions on Parallel and Distributed Systems. |
| IEEE Transactions on Systems Man and Cybernetics (Part B). |
| ACM Transactions on Computer Systems. |
| 2009 | ACM Symposium on Principles and Practice of Parallel Programming. |
| 2005 - 2006 | International Parallel and Distributed Processing Symposium. |
| 2000 | Symposium on Operating Systems Principles. |
| 2000 | Principles of Distributed Computing. |
| 1998 | International Symposium on Computer Architecture. |
| 1996 | IEEE International Parallel Processing Symposium (IPPS). |
| 2008 | Encyclopedia of Geographical Information Systems. (Book) Springer 2008, ISBN 978-0-387-30848-6. |
| 1992 | STEP Award for Best Undergraduate Honors Project at IIT Roorkee. STEP Foundation, Indian Institute of Technology, Roorkee, India. Subject: Electrical Engineering |
| 2001 | Ameritech Faculty Fellowship. Ameritech and Ohio State University. Subject: Computer Science and Engineering |
| 2002 | Best Paper Award (Applied Research). IEEE International Conference on Data Mining. Subject: Computer Science and Engineering |
| 2003 | Best Paper Award. SIAM International Conference on Data Mining,. Subject: Computer Science and Engineering |
| 2004 | NSF CAREER Award. National Science Foundation. Subject: Computer Science and Engineering |
| 2004 | Early Career Principal Investigator Award. Department of Energy. Subject: Computer Science and Engineering |
| 2005 | Lumley Research Award. Ohio State University, College of Engineering. Subject: Computer Science and Engineering |
| 2005 | Best of SIAM Data Mining. SIAM International Conference on Data Mining. Subject: Computer Science and Engineering |
| 2005 | Best Research Paper Award. Very Large Databases Symposium. Subject: Computer Science |
| 2006 | Award Nomination. ACM Special Interest Group on Knowledge Discovery and Data Mining Conference. Subject: Computer Science and Engineering |
| 2007 | Best of IEEE International Conference on Data Mining 2006. IEEE International Conference on Data Mining. Subject: Computer Science and Engineering |
| 2007 | Best Paper Award (Applied Research). ACM Special Interest Group on Knowledge Discovery and Data Mining Conference. Subject: Computer Science and Engineering |
| 2007 | IBM Faculty Fellowship Award. IBM. Subject: Computer Science and Engineering |
| 2009 | Best Challenge Entry Award. Oak Ridge National Laboratories and SIGKDD Workshop on Knowledge Discovery from Sensor Data. Subject: Computer Science and Engineering |
| 2009 | Award Nomination. International Conference on Intelligent Systems and Molecular Biology (ISMB). Subject: Bioinformatics |
Tamil: Standard (ability to read: Functional, ability to write: Basic, ability to speak: Fluent)
Hindi: (ability to read: Fluent, ability to write: Fluent, ability to speak: Fluent)
English: Standard (ability to read: Fluent, ability to write: Fluent, ability to speak: Fluent)
M. L. Scott, W. Li, L. Kontothanassis, G. Hunt, M. Michael, R. Stets, N. Hardavellas, W. Meira Jr., A. Poulos, M. Cierniak, S. Parthasarathy, and M. Zaki. 1996. "Implementation of Cashmere." In: Workshop on Scalable Shared Memory Multiprocessors, Held in conjunction with ASPLOS '96. [Peer Reviewed]
M. Zaki, M. Ogihara, S. Parthasarathy, and W. Li. 1996. "Parallel Data Mining for Association Rules on Shared-memory Multi-processors." In: Proceedings of ACM/IEEE Supercomputing (SC'96). Electronic Paper ID: 43. http://www2.computer.org/portal/web/csdl/doi/10.1109/SC.1996.29 [Peer Reviewed]
M. Zaki, W. Li, and S. Parthasarathy. 1996. "Customized Dynamic Load Balancing for a Network of Workstations." In: 5th IEEE International Symposium on High-Performance Distributed Computing (HPDC). 282-291. http://www.informatik.uni-trier.de/~ley/db/conf/hpdc/hpdc1996.html#ZakiLP96 [Peer Reviewed]
S. Parthasarathy, W. Li, M. Cierniak and M. Zaki. 1996. "Compile-Time Inter-Query Dependence Analysis,." In: IEEE Symposium on Parallel and Distributed Processing (SPDP). 8 pages. [Peer Reviewed]
L. Kontothanassis, G. C. Hunt, R. Stets, N. Hardavellas, M. Cierniak, S. Parthasarathy, W. Meira Jr., S. Dwarkadas, and M. Scott. 1997. "VM-Based Shared Memory on Low-Latency, Remote-Memory-Access Networks." In: International Symposium of Computer Architecture (ISCA). 157-169. http://www.informatik.uni-trier.de/~ley/db/conf/isca/isca97.html#KontothanassisHSHCPMDS97 [Peer Reviewed]
M. Zaki, S. Parthasarathy, and W. Li. 1997. "A Localized Algorithm for Parallel Association Mining,." In: 9th Annual ACM Symposium on Parallel Algorithms and Architectures (SPAA). 321-330. http://www.informatik.uni-trier.de/~ley/db/conf/spaa/spaa97.html#ZakiPL97 [Peer Reviewed]
M. Zaki, S. Parthasarathy, M. Ogihara, and W. Li. 1997. "New Algorithms for Fast Discovery of Association Rules." In: 3rd International Conference on Knowledge Discovery and Data Mining (KDD). 283-286. http://www.informatik.uni-trier.de/~ley/db/conf/kdd/kdd97.html#ZakiPOL97 [Peer Reviewed]
M. Zaki, S. Parthasarathy, W. Li, and M. Ogihara. 1997. "Evaluation of Sampling for Data Mining of Association Rules,." In: Research Issues in Data Engineering (RIDE'97). 9 pages (electronic edition). http://www.informatik.uni-trier.de/~ley/db/conf/ride/ride97.html#ZakiPLO97 [Peer Reviewed]
R. Stets, S. Dwarkadas, N. Hardavellas, G. Hunt, L. Kontothanassis, S. Parthasarathy, M. Scott. 1997. "CASHMERE-2L: Software Coherent Shared Memory on a Clustered Remote-Write Network." In: Symposium of Operating Systems Principles (SOSP'97). 170-183. http://www.informatik.uni-trier.de/~ley/db/conf/sosp/sosp97.html#StetsDHHKPS97 [Peer Reviewed]
R. Subramonian and S. Parthasarathy. 1998. "A Framework for Distributed Data Mining." In: International Workshop on Distributed Data Mining. 8 pages.
S. Parthasarathy and S. Dwarkadas. 1998. "InterAct: Virtual Sharing for Interactive Client-Server Applications." In: Languages, Compilers, and Run-Time Systems for Scalable Computers. 394-401. http://www.informatik.uni-trier.de/~ley/db/conf/lcr/lcr98.html#ParthasarathyD98 [Peer Reviewed]
S. Parthasarathy, M. Zaki and W. Li. 1998. "Memory Placement Techniques for Parallel Association Mining." In: Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98). 304-308. http://www.informatik.uni-trier.de/~ley/db/conf/kdd/kdd98.html#ParthasarathyZL98 [Peer Reviewed]
S. Parthasarathy, R. Subramonian and R. Venkata. 1998. "Generalized Discretization for Summarization and Classification." In: 3rd International Conference on the Practical Applications of Knowledge Discovery and Data mining (PADD98). 219-239. [Peer Reviewed]
S. Parthasarathy and R. Subramonian. 1999. "Facilitating Data Mining on a Network of Workstations." In: IASTED International Conference on Parallel and Distributed Systems (PDCS). 8 pages. [Peer Reviewed]
S. Parthasarathy, M. Zaki, M. Ogihara and S. Dwarkadas. 1999. "Incremental and Interactive Sequence Mining." In: ACM International Conference on Information and Knowledge Management (CIKM). 251-258. http://www.informatik.uni-trier.de/~ley/db/conf/cikm/cikm99.html#ParthasarathyZOD99 [Peer Reviewed]
D. Chen, S. Dwarkadas, E. Pinheiro, S. Parthasarathy and M. Scott. 2000. "InterWeave: A Middleware System for Distributed Shared State." In: Languages, Compilers, and Run-Time Systems for Scalable Computers. 207-220. http://www.informatik.uni-trier.de/~ley/db/conf/lcr/lcr2000.html#ChenDPPS00 [Peer Reviewed]
E. Pinheiro, D. Chen, S. Dwarkadas, S. Parthasarathy, and M. L. Scott. 2000. "S-DSM for Heterogeneous Machine Architectures." In: 2nd Workshop on Software Distributed Shared Memory. 6 pages. [Peer Reviewed]
S. Parthasarathy and M. Ogihara. 2000. "Clustering Distributed Homogeneous Datasets." In: Principles of Data Mining and Knowledge Discovery (PKDD). 566-574. http://www.informatik.uni-trier.de/~ley/db/conf/pkdd/pkdd2000.html#ParthasarathyO00 [Peer Reviewed]
S. Parthasarathy and M. Ogihara. 2000. "Exploiting Dataset Similarity for Distributed Mining." In: Workshop on High Performance Data Mining (HPDM). 399-406. http://www.informatik.uni-trier.de/~ley/db/conf/ipps/ipdpsW2000.html#ParthasarathyO00 [Peer Reviewed]
C. Aggarwal and S. Parthasarathy. 2001. "Mining massively incomplete data sets by conceptual reconstruction." In: Seventh ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD'01). 227-232. http://www.informatik.uni-trier.de/~ley/db/conf/kdd/kdd2001.html#AggarwalP01 [Peer Reviewed]
H. Li and S. Parthasarathy. 2001. "Automatically Deriving Multi-level Protein Structures through Data Mining." In: High Performance Computing Workshop on Bioinformatics and Computational Biology. 8 pages. [Peer Reviewed]
S. Parthasarathy. 2001. "Towards Network Aware Data Mining." In: Workshop on High Performance Data Mining (HPDM). Electronic Edition (8 pages). http://www.informatik.uni-trier.de/~ley/db/conf/ipps/ipdps2001.html#Parthasarathy01 [Peer Reviewed]
S. Parthasarathy and S. Dwarkadas. 2001. "Shared State for Client-Server Mining." In: SIAM International Conference on Data Mining (SDM'01). 1-20. http://www.siam.org/meetings/sdm01/pdf/sdm01_18.pdf [Peer Reviewed]
Y.C. Fang, S. Parthasarathy, and F. Schwartz. 2001. "Using Clustering to Boost Text Classification." In: IEEE ICDM Workshop on Text Mining (TextDM'01). 6 pages. [Peer Reviewed]
A. Veloso, W. Meira, M. Carvalho, B. Possas, S. Parthasarathy and M. Zaki. 2002. "Efficiently mining approximate models of associations in Evolving Databases." In: Joint European Conference on Machine Learning and Practical Applications of Knowledge Discovery and Data Mining (ECML/PKDD). 435-448. http://www.informatik.uni-trier.de/~ley/db/conf/pkdd/pkdd2002.html#VelosoGMCPZ02 [Peer Reviewed]
A. Veloso, W. Meira, M. Carvalho, B. Possas, S. Parthasarathy and M. Zaki. 2002. "Mining Frequent Itemsets in Evolving Databases." In: SIAM International Conference on Data Mining (SDM'02). 494-510. http://www.informatik.uni-trier.de/~ley/db/conf/sdm/sdm2002.html#VelosoMCPPZ02 [Peer Reviewed]
H. Yang, S. Parthasarathy and S. Reddy. 2002. "On the use of temporally constrained associations for web log mining." In: Workshop on Web Mining for Usage Patterns and User Profiles (WEBKDD). 8 pages. [Peer Reviewed]
M. Coatney, S. Mehta, S. Barr, A. Choy, S. Parthasarathy, R. Machiraju, and J. Wilkins. 2002. "Defect Detection in Silicon and Alloys." In: IEEE Workshop on Visualization in Bioinformatics and Cheminformatics. 4 pages. [Peer Reviewed]
M. Otey, R. Noronha, G. Li, S. Parthasarathy, D. Panda. 2002. "NIC-based Intrusion Detection: A feasibility study." In: Workshop on Data Mining for Cyber Threat Analysis. 8 pages. [Peer Reviewed]
S. Parthasarathy. 2002. "Efficient Progressive Sampling for Association Rules." In: IEEE International Conference on Data Mining (ICDM). 354-361. http://www.informatik.uni-trier.de/~ley/db/conf/icdm/icdm2002.html#Parthasarathy02 [Peer Reviewed]
S. Parthasarathy and A. Ramakrishnan. 2002. "Parallel Incremental 2D-Discretization on Dynamic Datasets." In: International Parallel and Distributed Processing Symposium (IPDPS). Electronic Edition (8 pages). http://www.informatik.uni-trier.de/~ley/db/conf/ipps/ipdps2002.html#ParthasarathyR02 [Peer Reviewed]
S. Parthasarathy and M. Coatney. 2002. "Efficient Discovery of Common Substructures in Macromolecules." In: IEEE International Conference on Data Mining (ICDM). 362-369. http://www.informatik.uni-trier.de/~ley/db/conf/icdm/icdm2002.html#ParthasarathyC02 [Peer Reviewed]
A. Ghoting and S. Parthasarathy. 2003. "DASPA: A Disk-Aware Stream Processing Architecture." In: Workshop on High Performance Data Mining (HPDM). 8 pages. [Peer Reviewed]
A. Veloso, M. Otey, S. Parthasarathy and W. Meira,. 2003. "Parallel and Distributed Frequent Itemset Mining on Dynamic Datasets: A Multi-Tiered Approach." In: IEEE International Conference on High Performance Computing (HiPC). 184-193. http://www.informatik.uni-trier.de/~ley/db/conf/hipc/hipc2003.html#VelosoOPM03 [Peer Reviewed]
A. Veloso, W. Meira and S. Parthasarathy. 2003. "New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases." In: 15th Annual Brazilian Symposium on Computer Architecture and High Performance Computing (SBAC-PAD). 158-166. http://www.informatik.uni-trier.de/~ley/db/conf/sbac-pad/sbac-pad2003.html#VelosoMP03 [Peer Reviewed]
A. Veloso, W. Meira, S. Parthasarathy and M. B. de Carvalho. 2003. "Efficient, Accurate and Privacy-Preserving Data Mining for Frequent Itemsets in Distributed Databases." In: Brazilian Symposium on Databases (SBBD). 281-292. http://www.informatik.uni-trier.de/~ley/db/conf/sbbd/sbbd2003.html#VelosoMPC03 [Peer Reviewed]
M. Coatney and S. Parthasarathy. 2003. "MotifMiner: A General Toolkit for Efficiently Identifying Common Substructures in Molecules." In: IEEE International Symposium on Bioinformatics and Bioengineering (BIBE). 336-340. http://www.informatik.uni-trier.de/~ley/db/conf/bibe/bibe2003.html#CoatneyP03 [Peer Reviewed]
M. Jiang, T.-S. Choy, S. Mehta, M. Coatney, S. Barr, K. Hazzard, D. Richie, S. Parthasarathy, R. Machiraju, D. Thompson, J. Wilkins, and B. Gatlin. 2003. "Feature Mining Paradigms for Scientific Data." In: SIAM International Conference on Data Mining (SDM'03). 13-24. http://www.informatik.uni-trier.de/~ley/db/conf/sdm/sdm2003.html#JiangCMCBHRPMTWG03 [Peer Reviewed]
M. Otey, A. Veloso, C. Wang, S. Parthasarathy and W. Meira. 2003. "Mining Frequent Itemsets in Distributed and Dynamic Databases." In: IEEE International Conference on Data Mining (ICDM). 617-620. http://www.informatik.uni-trier.de/~ley/db/conf/icdm/icdm2003.html#OteyWPVM03 [Peer Reviewed]
M. Otey, S. Parthasarathy, A. Ghoting, G. Li, S. Narravula, D. K. Panda. 2003. "Towards NIC-based Intrusion Detection." In: ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD). 723-728. http://www.informatik.uni-trier.de/~ley/db/conf/kdd/kdd2003.html#OteyPGLNP03 [Peer Reviewed]
M. Twa, S. Parthasarathy, T. Raasch, and M. Bullimore. 2003. "Decision Tree Classification of Spatial Data patterns from Videokeratography using Zernike Polynomials." In: SIAM International Conference on Data Mining (SDM'03). 3-12. http://www.informatik.uni-trier.de/~ley/db/conf/sdm/sdm2003.html#TwaPRB03 [Peer Reviewed]
R. Sundaresan, M. Lauria, T. Kurc, S. Parthasarathy, and J. Saltz. 2003. "Adaptive polling of Grid resource monitors using a slacker coherence model,." In: International Symposium on High Performance Distributed Computing (HPDC). 260-269. http://www.informatik.uni-trier.de/~ley/db/conf/hpdc/hpdc2003.html#SundaresanLKPS03 [Peer Reviewed]
R. Sundaresan, T. Kurc, M. Lauria, S. Parthasarathy, and J. Saltz. 2003. "A Slacker Coherence Protocol for Pull-based Monitoring of On-line Data Sources." In: IEEE International Symposium on Cluster Computing and the Grid (CCGrid). 250-257. http://www.informatik.uni-trier.de/~ley/db/conf/ccgrid/ccgrid2003.html#SundaresanKLPS03 [Peer Reviewed]
A. Ghoting and S. Parthasarathy. 2004. "Facilitating Interactive Distributed Data Stream Processing and Mining." In: IEEE International Parallel and Distributed Processing Symposium (IPDPS). Electronic Edition: 10 pages. http://www.informatik.uni-trier.de/~ley/db/conf/ipps/ipdps2004-c.html#GhotingP04 [Peer Reviewed]
A. Ghoting, M. Otey, and S. Parthasarathy. 2004. "LOADED: Link Based Outlier and Anomaly Detection." In: IEEE International Conference on Data Mining (ICDM). 387-390. http://www.informatik.uni-trier.de/~ley/db/conf/icdm/icdm2004.html#GhotingOP04 [Peer Reviewed]
A. Veloso, W. Meira Jr., R. Ferreira, G. Neto and S. Parthasarathy,. 2004. "Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for Frequent Itemset Mining." In: 8th European Conference on the Practice of Knowledge Discovery in Databases (PKDD). 422-433. http://www.informatik.uni-trier.de/~ley/db/conf/pkdd/pkdd2004.html#VelosoMFNP04 [Peer Reviewed]
B. Rutt and S. Parthasarathy. 2004. "Exploiting Recurring Usage Patterns to Enhance Filesystem and Memory Subsystem Performance,." In: Pacific Asian Conference on Knowledge Discovery and Data Mining (PAKDD). 486-496. http://www.informatik.uni-trier.de/~ley/db/conf/pakdd/pakdd2004.html#RuttP04 [Peer Reviewed]
C. Wang and S. Parthasarathy. 2004. "Parallel Algorithms for Mining Frequent Structural Motifs in Scientific Data." In: ACM International Conference on Supercomputing (ICS). 31-40. http://www.informatik.uni-trier.de/~ley/db/conf/ics/ics2004.html#WangP04 [Peer Reviewed]
D. Thompson, S. Parthasarathy, R. Machiraju, and S. Lawrence. 2004. "Improvements to Response Surface Based Vehicle Design Using a Feature-centric Approach." In: International Conference on Computational Science (ICCS). 764-770. http://www.informatik.uni-trier.de/~ley/db/conf/iccS/iccS2004-3.html#ThompsonPML04 [Peer Reviewed]
H. Li, K. Marsolo, S. Parthasarathy and D. Polshakov. 2004. "A New Approach to Protein Structure Mining and Alignment,." In: 4th Workshop on Data Mining Bioinformmatics (BIOKDD). 1-10. http://www.informatik.uni-trier.de/~ley/db/conf/kdd/biokdd2004.html#LiMPP04 [Peer Reviewed]
H. Yang, K. Marsolo, S. Parthasarathy, S. Mehta. 2004. "Discovering Spatial Relationships Between Approximately Equivalent Patterns in Contact Maps." In: 4th Workshop on Data Mining in Bioinformatics (BIOKDD). 62-71. http://www.informatik.uni-trier.de/~ley/db/conf/kdd/biokdd2004.html#MarsoloYPM04 [Peer Reviewed]
S. Mehta, A. Choy, S. Barr, K. Hazzard, R. Machiraju, S. Parthasarathy, J. Wilkins. 2004. "Detection and Visualization of Anomalous Structures in Molecular Dynamics Simulation Data." In: IEEE Visualization Conference (Vis). 465-472. http://www.informatik.uni-trier.de/~ley/db/conf/visualization/visualization2004.html#MehtaHMPW04 [Peer Reviewed]
S. Mehta, S. Parthasarathy, and H. Yang. 2004. "Correlation Preserving Discretization." In: IEEE International Conference on Data Mining (ICDM). 479-482. http://www.informatik.uni-trier.de/~ley/db/conf/icdm/icdm2004.html#MehtaPY04 [Peer Reviewed]
A. Ghoting, G. Buehrer, S. Parthasarathy, D. Kim, A. Nguyen, Y. Chen, and P . Dubey. 2005. "A Characterization of Data Mining Workloads on a Modern Processor." In: Workshop on Data Management on New Hardware, DaMoN 2005. Electronic edition (8 pages). http://www.informatik.uni-trier.de/~ley/db/conf/damon/damon2005.html#GhotingBPKNCD05 [Peer Reviewed]
A. Ghoting, G. Buehrer, S. Parthasarathy, D. Kim, A. Nguyen, Y. Chen, and P. Dubey. 2005. "Cache-conscious Frequent Pattern Mining on a Modern Processor." In: 31st International Conference on Very Large Data Bases (VLDB). 577-588. http://www.informatik.uni-trier.de/~ley/db/conf/vldb/vldb2005.html#GhotingBPKNCD05 [Peer Reviewed]
D. Ucar, S. Asur, C. Wang and S. Parthasarathy. 2005. "Effective Pre-Processing Strategies for Functional Clustering of a Protein-Protein Interactions Network." In: Fifth IEEE International Symposium on Bioinformatic and Bioengineering (BIBE 2005). 129-136. http://www.informatik.uni-trier.de/~ley/db/conf/bibe/bibe2005.html#UcarPAW05 [Peer Reviewed]
H. Wang, A. Ghoting, G. Buehrer, S. Tatikonda, S. Parthasarathy, T. Kurc, and J. Saltz. 2005. "A Services Oriented Framework for Next Generation Data Analysis Centers." In: IEEE IPDPS Next Generation Software Workshop. F. Darema. Electronic Edition (8 pages). http://www.informatik.uni-trier.de/~ley/db/conf/ipps/ipdps2005.html#WangGBTPKS05 [Editor Reviewed]
H. Wang, S. Parthasarathy, A. Ghoting, S. Tatikonda, G. Buehrer, T. Kurc, and J. Saltz. 2005. "Design of a next generation sampling service for large scale data analysis applications." In: 19th Annual International Conference on Supercomputing, ICS 2005. 91-100. http://www.informatik.uni-trier.de/~ley/db/conf/ics/ics2005.html#WangPGTBKS05 [Peer Reviewed]
H. Yang, S. Parthasarathy, and S. Mehta. 2005. "A generalized framework for mining spatio-temporal patterns in scientific data." In: Eleventh ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD'05). 716-721. http://www.informatik.uni-trier.de/~ley/db/conf/kdd/kdd2005.html#YangPM05 [Peer Reviewed]
H. Yang, S. Parthasarathy, and S. Mehta. 2005. "Mining Spatial Object Associations for Scientific Data." In: Nineteenth International Joint Conference on Artificial Intelligence (IJCAI). 902-907. http://www.informatik.uni-trier.de/~ley/db/conf/ijcai/ijcai2005.html#YangPM05 [Peer Reviewed]
H. Yang, S. Parthasarathy, and S. Mehta. 2005. "Towards Association-based Spatio-temporal Reasoning." In: IJCAI2005 Workshop on Spatio-temporal Reasoning. 6 pages. [Peer Reviewed]
K. Marsolo and S. Parthasarathy. 2005. "Alternate Representation of Distance Matrices for Characterization of Protein Structure." In: 5th IEEE International Conference on Data Mining (ICDM 2005). 298-305. http://www.informatik.uni-trier.de/~ley/db/conf/icdm/icdm2005.html#MarsoloP05 [Peer Reviewed]
K. Marsolo, S. Parthasarathy, and C. Ding. 2005. "A Multi-Level Approach to SCOP Fold Recognition." In: Fifth IEEE International Symposium on Bioinformatic and Bioengineering (BIBE 2005). 57-64. http://www.informatik.uni-trier.de/~ley/db/conf/bibe/bibe2005.html#MarsoloPD05 [Peer Reviewed]
K. Marsolo, S. Parthasarathy, M. Twa and M. Bullimore. 2005. "Classification of Biomedical Data through Model-Based Spatial Averaging." In: Fifth IEEE International Symposium on Bioinformatic and Bioengineering (BIBE 2005). 49-56. http://www.informatik.uni-trier.de/~ley/db/conf/bibe/bibe2005.html#MarsoloPTB05 [Peer Reviewed]
K. Marsolo, S. Parthasarathy, M. Twa, and M. Bullimore. 2005. "A Model-Based Approach to Visualizing Classification Decisions for Patient Diagnosis." In: 10th Conference on Artificial Intelligence in Medicine, AIME 2005. 473-483. http://www.informatik.uni-trier.de/~ley/db/conf/aime/aime2005.html#MarsoloPTB05 [Peer Reviewed]
M. E. Otey, S. Parthasarathy, and A. Ghoting. 2005. "An Empirical Comparison of Outlier Detection Algorithms." In: ACM SIGKDD 2005 Workshop on Data Mining Methods for Anomaly Detection. 8 pages. [Peer Reviewed]
M. Otey and S. Parthasarathy. 2005. "A Dissimilarity Measure for Comparing Subsets of Data: Application to Multivariate Time Series." In: IEEE ICDM Workshop on Temporal Data Mining, 2005. Electronic edition. 8 pages. [Peer Reviewed]
R. Jin, C. Wang, D. Polshakov, S. Parthasarathy, and G. Agrawal. 2005. "Discovering frequent topological structures from graph datasets." In: Eleventh ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD'05). 606-611. http://www.informatik.uni-trier.de/~ley/db/conf/kdd/kdd2005.html#JinWPPA05 [Peer Reviewed]
S.Mehta, S.Barr, A.Choy, H.Yang, S.Parthasarathy, R.Machiraju, and J.Wilkins. 2005. "Dynamic Classification of Anomalous Structures in Molecular Dynamics Simulation Data." In: 2005 SIAM International Conference on Data Mining (SDM'05). Electronic Edition. 12 pages. http://www.informatik.uni-trier.de/~ley/db/conf/sdm/sdm2005.html#MehtaBCYPMW05 [Peer Reviewed]
A. Ghoting and S. Parthasarathy. 2006. "Knowledge-Conscious Exploratory Data Clustering." In: 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD). 511-519. http://www.informatik.uni-trier.de/~ley/db/conf/pkdd/pkdd2006.html#GhotingP06 [Peer Reviewed]
A. Ghoting, S. Parthasarathy, and M. E. Otey. 2006. "Fast Mining of Distance-Based Outliers in High Dimensional Datasets." In: Proceedings of the Sixth SIAM International Conference on Data Mining (SDM'06). 608-612. http://www.informatik.uni-trier.de/~ley/db/conf/sdm/sdm2006.html#GhotingPO06 [Peer Reviewed]
C. Wang and S. Parthasarathy. 2006. "Learning Approximate MRFs From Large Transaction Data." In: 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD). 641-649. http://www.informatik.uni-trier.de/~ley/db/conf/pkdd/pkdd2006.html#WangP06 [Peer Reviewed]
C. Wang and S. Parthasarathy. 2006. "Summarizing itemset patterns using probabilistic models." In: Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD'06). 730-735. http://www.informatik.uni-trier.de/~ley/db/conf/kdd/kdd2006.html#WangP06 [Peer Reviewed]
C. Wang, S. Parthasarathy and R. Jin. 2006. "A Decomposition-Based Probabilistic Framework for Estimating the Selectivity of XML Twig Queries." In: 10th International Conference on Extending Database Technology (EDBT). 533-551. http://www.informatik.uni-trier.de/~ley/db/conf/edbt/edbt2006.html#WangPJ06 [Peer Reviewed]
D. Ucar, S. Asur, U. Catalyurek, and S. Parthasarathy. 2006. "Improving Functional Modularity in Protein-Protein Interactions Graphs Using Hub-induced Subgraphs." In: 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD). 371-382. http://www.informatik.uni-trier.de/~ley/db/conf/pkdd/pkdd2006.html#UcarACP06 [Peer Reviewed]
G. Buehrer, A. Ghoting, X. Zhang, S. Tatikonda, S. Parthasarathy, T. Kurc, and J. Saltz. 2006. "I/O conscious algorithm design and systems support for data analysis on emerging architectures." In: Next Generation Software Workshop held with IPDPS 2006. F. Darema. Electronic edition (8 pages). http://www.informatik.uni-trier.de/~ley/db/conf/ipps/ipdps2006.html#BuehrerGZSPKS06 [Editor Reviewed]
G. Buehrer, S. Parthasarathy, A. Ghoting, Y.Chen, A. Nguyen and D. Kim. 2006. "Efficient pattern mining on shared memory systems: implications for chip multiprocessor architectures." In: Proceedings of the 2006 workshop on Memory system performance and correctness. 31-40. [Peer Reviewed]
G. Buehrer, S. Parthasarathy, and A. Ghoting. 2006. "Out-of-core Frequent Pattern Mining on a Commodity PC." In: Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD). 86-95. http://www.informatik.uni-trier.de/~ley/db/conf/kdd/kdd2006.html#BuehrerPG06 [Peer Reviewed]
G. Buehrer, S. Parthasarathy, and Y. Chen. 2006. "Adaptive Parallel Graph Mining for CMP Architectures." In: Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006). 97-106. http://www.informatik.uni-trier.de/~ley/db/conf/icdm/icdm2006.html#BuehrerPC06 [Peer Reviewed]
H. Yang and S. Parthasarathy. 2006. "Mining Spatial and Spatio-Temporal Patterns in Scientific Data." In: Proceedings of the 22nd International Conference on Data Engineering Workshops. 146 (4 pages). http://www.informatik.uni-trier.de/~ley/db/conf/icde/icdew2006.html#YangP06 [Peer Reviewed]
K. Marsolo and S. Parthasarathy. 2006. "On the Use of Structure and Sequence-Based Features for Protein Classification and Retrieval." In: Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006). 394-403. http://www.informatik.uni-trier.de/~ley/db/conf/icdm/icdm2006.html#MarsoloP06 [Peer Reviewed]
K. Marsolo, S. Parthasarathy and K. Rao. 2006. "Structure-based querying of proteins using wavelets." In: Proceedings of the 2006 ACM International Conference on Information and Knowledge Management (CIKM). 24-33. http://www.informatik.uni-trier.de/~ley/db/conf/cikm/cikm2006.html#TatikondaPK06 [Peer Reviewed]
M. Otey, S. Parthasarathy and D. Trost. 2006. "Dissimilarity Measures for Detecting Hepatotoxicity in Clinical Trial Data." In: Proceedings of the Sixth SIAM International Conference on Data Mining (SDM'06),. 507-511. http://www.informatik.uni-trier.de/~ley/db/conf/sdm/sdm2006.html#OteyPT06 [Peer Reviewed]
S. Asur, P. Raman, M. Otey and S. Parthasarathy. 2006. "A model-based approach for mining membrane protein crystallization trials." In: Proceedings 14th International Conference on Intelligent Systems for Molecular Biology (ISMB). 40-48. [Peer Reviewed]
S. Asur, S. Parthasarathy and D. Ucar. 2006. "An Ensemble Approach for Clustering Scale-Free Graphs." In: Workshop on Link Analysis: Dynamics and Static of Large Networks (LinkKDD2006). 8 pages (electronic edition). http://kt.ijs.si/Dunja/LinkKDD2006/Papers/asur.pdf [Peer Reviewed]
S. Mehta, S. Parthasarathy and R. Machiraju. 2006. "On Trajectory Representation for Scientific Features." In: Proceedings of the 6th IEEE International Conference on Data Mining (ICDM). 997-1001. http://www.informatik.uni-trier.de/~ley/db/conf/icdm/icdm2006.html#MehtaPM06 [Peer Reviewed]
S. Parthasarathy, S. Mehta, and S. Srinivasan. 2006. "Robust Periodicity Detection Algorithms." In: Proceedings of the 2006 ACM International Conference on Information and Knowledge Management (CIKM). 874-875. http://www.informatik.uni-trier.de/~ley/db/conf/cikm/cikm2006.html#ParthasarathyMS06 [Peer Reviewed]
S. Tatikonda, S. Mehta, and S. Parthasarathy. 2006. "Containment Policies for Transmissible Diseases." In: Proceedings of SIAM Workshop on Spatial Data Mining. 7 pages. Electronic Edition. http://www.cs.dartmouth.edu/~cbk/sdm06/tatikonda-mehta-parthasarathy-sdm06.pdf [Peer Reviewed]
S. Tatikonda, S. Parthasarathy and T. Kurc. 2006. "TRIPS and TIDES: New Algorithms for Tree Mining." In: Proceedings of the 2006 ACM International Conference on Information and Knowledge Management (CIKM). 455-464. http://www.informatik.uni-trier.de/~ley/db/conf/cikm/cikm2006.html#TatikondaPK06 [Peer Reviewed]
X. Zhang, T. Kurc, J. Saltz and S. Parthasarathy. 2006. "Design and analysis of a multi-dimensional data sampling service for large scale data analysis applications." In: 20th International Parallel and Distributed Processing Symposium (IPDPS 2006). 9 pages (electronic edition). http://www.informatik.uni-trier.de/~ley/db/conf/ipps/ipdps2006.html#ZhangKSP06 [Peer Reviewed]
A. Ghoting, G. Buehrer, M. Goyder, S. Tatikonda, X. Zhang, S. Parthasarathy, T. Kurc and J. Saltz. 2007. "Knowledge and Cache Conscious Algorithm Design and Systems Support for Data Mining Algorithms." In: Next Generation Software Workshop held with IPDPS 2007. F. Darema. 1-6. http://www.informatik.uni-trier.de/~ley/db/conf/ipps/ipdps2007.html#GhotingBGTZPKS07 [Editor Reviewed]
C. Wang, V. Satuluri and S. Parthasarathy. 2007. "Local Probabilistic Models for Link Prediction." In: Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007). 322-331. http://www.informatik.uni-trier.de/~ley/db/conf/icdm/icdm2007.html#WangSP07 [Peer Reviewed]
G. Buehrer, S. Parthasarathy, S. Tatikonda, T. Kurc and J. Saltz. 2007. "Toward terabyte pattern mining: an architecture-conscious solution." In: Proceedings of the 12th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP 2007,. 2-12. http://www.informatik.uni-trier.de/~ley/db/conf/ppopp/ppopp2007.html#BuehrerPTKS07 [Peer Reviewed]
S. Asur and S. Parthasarathy. 2007. "Correlation-based Feature Partitioning for Rare Event Detection in Wireless Sensor Networks." In: In the Proceedings of the 1st ACM Workshop on Knowledge Discovery from Sensor Data at the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (Sensor-KDD). 8 pages. [Peer Reviewed]
S. Asur, D. Ucar and S. Parthasarathy. 2007. "An ensemble framework for clustering protein-protein interaction networks." In: Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB). 29-40. [Peer Reviewed]
S. Asur, D. Ucar and S. Parthasarathy. 2007. "An event-based framework for characterizing the evolutionary behavior of interaction graphs." In: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD). 913-921. http://www.informatik.uni-trier.de/~ley/db/conf/kdd/kdd2007.html#AsurPU07 [Peer Reviewed]
S. Parthasarathy. 2007. "Data Mining at the Crossroads: Successes, Failures and Learning From Them." In: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD). P. Berkhin et al. 1053-1055. http://www.informatik.uni-trier.de/~ley/db/conf/kdd/kdd2007.html#Parthasarathy07 [Editor Reviewed]
S. Tatikonda, S. Parthasarathy and M. Goyder. 2007. "LCS-TRIM: Dynamic Programming Meets XML Indexing and Querying." In: Proceedings of the 33rd International Conference on Very Large Data Bases (VLDB). 63-74. http://www.informatik.uni-trier.de/~ley/db/conf/vldb/vldb2007.html#TatikondaPG07 [Peer Reviewed]
D. Brian Larkins, J. Dinan, S. Krishnamoorthy, S. Parthasarathy, A. Rountev and P. Sadayappan:. 2008. "Global trees: a framework for linked data structures on distributed memory parallel systems." In: Proceedings of the ACM/IEEE Conference on High Performance Computing, SC 2008. Electronic Edition ID: 57 (13 pages). http://www.informatik.uni-trier.de/~ley/db/conf/sc/sc2008.html#LarkinsDKPRS08 [Peer Reviewed]
G. Buehrer, S. Parthasarathy and M. Goyder. 2008. "Data mining on the cell broadband engine." In: Proceedings of the 22nd Annual International Conference on Supercomputing, ICS 2008. 26-35. http://www.informatik.uni-trier.de/~ley/db/conf/ics/ics2008.html#BuehrerPG08 [Peer Reviewed]
N. Wang, S. Parthasarathy, K-L. Tan and A. Tung. 2008. "CSV: visualizing and mining cohesive subgraphs." In: Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2008. 445-458. http://www.informatik.uni-trier.de/~ley/db/conf/sigmod/sigmod2008.html#WangPTT08 [Peer Reviewed]
S. Tatikonda and S. Parthasarathy. 2008. "An adaptive memory conscious approach for mining frequent trees: implications for multi-core architectures." In: Proceedings of the 13th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP 2008. 263-264. http://www.informatik.uni-trier.de/~ley/db/conf/ppopp/ppopp2008.html#TatikondaP08 [Peer Reviewed]
X. Yang, S. Asur, S. Parthasarathy and S. Mehta. 2008. "A visual-analytic toolkit for dynamic interaction graphs." In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD'08),. 1016-1024. http://www.informatik.uni-trier.de/~ley/db/conf/kdd/kdd2008.html#YangAPM08 [Peer Reviewed]
D. Ucar, A. Beyer, S. Parthasarathy and C. Workman. 2009. "Predicting Functionality of Protein-DNA Interactions by Integrating Diverse Evidence." In: International Conference on Intelligent Systems and Molecular Biology (ISMB). 37-44. [Peer Reviewed]
D. Ucar, F. Altiparmak, H. Ferhatosmanoglu and S. Parthasarathy. 2009. "Mutual Information Based Extrinsic Similarity for Microarray Analysis." In: International Conference on Bioinformatics and Computational Biology. 424-436. http://www.informatik.uni-trier.de/~ley/db/conf/bicob/bicob2009.html#UcarAFP09 [Peer Reviewed]
M. Das and S. Parthasarathy. 2009. "Anomaly Detection and Spatio-Temporal Analysis of Global Climate System." In: 3rd ACM Workshop on Knowledge Discovery from Sensor Data at the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (Sensor-KDD). 8 pages. [Peer Reviewed]
Q. Tran, C-Y Chan and S. Parthasarathy. 2009. "Query by Output." In: Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2009. 535-548. http://www.informatik.uni-trier.de/~ley/db/conf/sigmod/sigmod2009.html#TranCP09 [Peer Reviewed]
S. Asur and S. Parthasarathy. 2009. "A Viewpoint-based Approach for Interaction Graph Analysis." In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD09). 79-88. http://www.informatik.uni-trier.de/~ley/db/conf/kdd/kdd2009.html#AsurP09 [Peer Reviewed]
S. Tatikonda and S. Parthasarathy. 2009. "Mining Tree Structured Data on Multicore Systems." In: 35th International Conference on Very Large Databases (VLDB). 694-705. [Peer Reviewed]
V. Satuluri and S. Parthasarathy. 2009. "Scalable graph clustering using stochastic flows: applications to community discovery." In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD09). 737-746. http://www.informatik.uni-trier.de/~ley/db/conf/kdd/kdd2009.html#SatuluriP09 [Peer Reviewed]
Z. Zhang, B. Ooi, S. Parthasarathy and A. Tung. 2009. "Similarity Search on Bregman Divergence: Towards Non-Metric Indexing." In: 35th International Conference on Very Large Databases (VLDB). 13-24. [Peer Reviewed]
G. Buehrer, S. Parthasarathy, and S. Tatikonda. "A Distributed Placement Service for Graph- Structured and Transactional Datasets." In: ACM Symposium on Principles and Practice of Parallel Programming. To Appear (2010). [Peer Reviewed]
S. Tatikonda and S. Parthasarathy. "Hashing Tree Structured Data: Methods and Applications." In: IEEE International Conference on Data Engineering (ICDE). To Appear (2010). [Peer Reviewed]
G. Hunt, M. Michael, S. Parthasarathy and M. Scott. 1996. Efficient algorithm for concurrent priority queue heaps. Information Processing Letters. Vol. 60, no. 3: 151-157. http://www.informatik.uni-trier.de/~ley/db/journals/ipl/ipl60.html#HuntMPS96. (IF: 0.706)
M. Zaki, S. Parthasarathy, M. Ogihara, and W. Li. 1997. Parallel algorithms for discovery of association rules. Data Mining and Knowledge Discovery. Vol. 1, no. 4: 343-373. (IF: 2.421)
M. Zaki, W. Li and S. Parthasarathy. 1997. Customized dynamic load balancing for a network of workstations. Journal of Parallel and Distributed Computing. Vol. 43, no. 2: 156-162. http://www.informatik.uni-trier.de/~ley/db/journals/jpdc/jpdc43.html#ZakiLP97. (IF: 1.168)
V. Gupta, S. Parthasarathy and M. Zaki. 1999. Arithmetic and Logic Operations with DNA. American Mathematical Society Series in Discrete Mathematics and Theoretical Computer Science. Vol. 48: 149-159.
S. Parthasarathy, M. Zaki, M. Ogihara and W. Li. 2001. Parallel data mining for association rules on shared-memory systems. Knowledge and Information Systems. Vol. 3, no. 1: 1-29. http://www.informatik.uni-trier.de/~ley/db/journals/kais/kais3.html#ParthasarathyZOL01. (IF: 1.733)
S. Parthasarathy and R. Subramonian. 2001. An Interactive Resource-Aware Framework for Distributed Data Mining. IEEE Technical Committee on Distributed Processing Letters. (March): 24-32.
S. Parthasarathy and S. Dwarkadas. 2002. Shared state for distributed interactive data mining applications. Distributed and Parallel Databases. Vol. 11, no. 2: 129-155. http://www.informatik.uni-trier.de/~ley/db/journals/dpd/dpd11.html#ParthasarathyD02. (IF: 0.875)
S. Parthasarathy and C. Aggarwal. 2003. On the use of conceptual reconstruction for mining massively incomplete data sets. IEEE Transactions on Knowledge and Data Engineering. Vol. 15, no. 6: 1512-1521. http://www.informatik.uni-trier.de/~ley/db/journals/tkde/tkde15.html#ParthasarathyA03. (IF: 2.236)
M. Otey, S. Parthasarathy, C. Wang, A. Veloso and W. Meira. 2004. Parallel and distributed methods for incremental frequent itemset mining. IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics). Vol. 34, no. 6: 2439-2450. http://www.informatik.uni-trier.de/~ley/db/journals/tsmc/tsmcb34.html#OteyPWVM04. (IF: 2.361)
M. Coatney and S. Parthasarathy. 2005. MotifMiner: efficient discovery of common substructures in biochemical molecules. Knowledge and Information Systems. Vol. 7, no. 2: 202-223. http://www.informatik.uni-trier.de/~ley/db/journals/kais/kais7.html#CoatneyP05. (IF: 1.733)
S. Mehta, S. Parthasarathy and H. Yang. 2005. Toward unsupervised correlation preserving discretization. IEEE Transactions on Knowledge and Data Engineering. Vol. 17, no. 9: 1174-1185. http://www.informatik.uni-trier.de/~ley/db/journals/tkde/tkde17.html#MehtaPY05. (IF: 2.236)
F. Schwartz, Y. Fang and S. Parthasarathy. 2005. Patterns of Evolution of Research Strands in Hydrological Sciences. Journal of Hydrogeology. Vol. 13. (March 1): 25-36. (IF: 2.305)
M. Twa , S. Parthasarathy S, C. Roberts, A. Mahmoud, T. Raasch and M. Bullimore. 2005. Automated decision tree classification of corneal shape. Optometry And Vision Science: Official Publication Of The American Academy Of Optometry. Vol. 82, no. 12. (December 1): 1038-1046. (IF: 1.638)
M. Otey, A. Ghoting and S. Parthasarathy. 2006. Fast distributed outlier detection in mixed-attribute data sets. Data Mining and Knowledge Discovery. Vol. 12, no. 2-3: 203-228. http://www.informatik.uni-trier.de/~ley/db/journals/datamine/datamine12.html#OteyGP06. (IF: 2.421)
S. Asur, P. Raman, M. Otey and S. Parthasarathy. 2006. A model-based approach for mining membrane protein crystallization trials. Bioinformatics (Oxford, England). Vol. 22, no. 14. (July 15): e40-e48. http://www.informatik.uni-trier.de/~ley/db/conf/ismb/ismb2006.html#AsurROP06. (IF: 4.328)
A. Ghoting, G. Buehrer, S. Parthasarathy, D. Kim, A. Nguyen, Y-K Chen and P. Dubey. 2007. Cache-conscious frequent pattern mining on modern and emerging processors. VLDB Journal. Vol. 16, no. 1: 77-96. http://www.informatik.uni-trier.de/~ley/db/journals/vldb/vldb16.html#GhotingBPKNCD07. (IF: 7.067)
K. Marsolo, S. Parthasarathy, M. Twa and M. Bullimore. 2007. Ensemble Learning by Model-based Spatial Averaging. Contemporary Mathematics. Vol. 443: 147-164.
H. Yang, S. Parthasarathy and D. Ucar. 2007. A spatio-temporal mining approach towards summarizing and analyzing protein folding trajectories. Algorithms For Molecular Biology: AMB. Vol. 3, no. 2. (January 1): Electronic access (link below), 16 pages. http://www.almob.org/content/2/1/3. (IF: 2.08)
K. Marsolo, M. Twa, M. Bullimore and S. Parthasarathy. 2007. Spatial modeling and classification of corneal shape. IEEE Transactions On Information Technology In Biomedicine. Vol. 11, no. 2. (March 1): 203-212. http://www.informatik.uni-trier.de/~ley/db/journals/titb/titb11.html#MarsoloTBP07. (IF: 1.939)
S. Asur, D. Ucar, and S. Parthasarathy. 2007. An ensemble framework for clustering protein-protein interaction networks. Bioinformatics (Oxford, England). Vol. 23, no. 13. (July 1): 29-40. http://www.informatik.uni-trier.de/~ley/db/conf/ismb/ismb2007.html#AsurUP07. (IF: 4.328)
D. Ucar , I. Neuhaus , P. Ross-MacDonald , C. Tilford , S. Parthasarathy, N. Siemers and R-R Ji. 2007. Construction of a reference gene association network from multiple profiling data: application to data analysis. Bioinformatics (Oxford, England). Vol. 23, no. 20. (October 15): 2716-2724. http://www.informatik.uni-trier.de/~ley/db/journals/bioinformatics/bioinformatics23.html#UcarNRTPSJ07. (IF: 4.328)
A. Ghoting, S. Parthasarathy and M. Otey. 2008. Fast mining of distance-based outliers in high-dimensional datasets. Data Mining and Knowledge Discovery. Vol. 16, no. 3: 349-364. http://www.informatik.uni-trier.de/~ley/db/journals/datamine/datamine16.html#GhotingPO08. (IF: 2.421)
H. Yang and S. Parthasarathy. 2008. Patterns in Spatio-Temporal Data. Encyclopedia of Geographical Information Systems: 851-854. http://www.informatik.uni-trier.de/~ley/db/reference/gis/gis2008.html#YangP08.
K. Marsolo and S. Parthasarathy. 2008. On the use of structure and sequence-based features for protein classification and retrieval. Knowledge and Information Systems. Vol. 14, no. 1: 59-80. http://www.informatik.uni-trier.de/~ley/db/journals/kais/kais14.html#MarsoloP08. (IF: 1.733)
K. Marsolo, M. Twa, M. Bullimore and S. Parthasarathy. 2008. Biomedical Data Mining. Encyclopedia of Geographical Information Systems: 57-63. http://www.informatik.uni-trier.de/~ley/db/reference/gis/gis2008.html#MarsoloTBP08.
S. Asur, S. Parthasarathy and D. Ucar. An Event Based Framework for Characterizing the Evolutionary Behavior of Interaction Graphs. ACM Transactions on Knowledge Discovery from Data (TKDD). (In press)
S. Tatikonda and S. Parthasarathy. 2009. Mining Tree Structured Data On Multicore Systems. Journal of the Very Large Databases Endowment (PVLDB). Vol. 2, no. 1: 694-705. http://www.informatik.uni-trier.de/~ley/db/journals/pvldb/pvldb2.html#TatikondaP09. (IF: 7.067)
Z. Zhang, B-C. Ooi, S. Parthasarathy, A. K. H. Tung. 2009. Similarity Search on Bregman Divergence: Towards Non-Metric Indexing. Journal of the Very Large Databases Endowment (PVLDB). Vol. 2, no. 1: 13-24. http://www.informatik.uni-trier.de/~ley/db/journals/pvldb/pvldb2.html#ZhangOPT09. (IF: 7.067)
D. Ucar , A. Beyer , S. Parthasarathy and C. Workman. 2009. Predicting functionality of protein-DNA interactions by integrating diverse evidence. Bioinformatics (Oxford, England). Vol. 25, no. 12. (June 15): i137-i44. http://bioinformatics.oxfordjournals.org/cgi/content/abstract/25/12/i137. (IF: 4.328)
| 1992 | Software Developer, Cosmic Services. Hong Kong. |
| 1997 - 1999 | Consultant, Intel Research Santa Clara. |
| 1999 - 2000 | Visiting Assistant Professor, University of Rochester, College of Arts and Science, Computer Science. Rochester, NY, United States. |
| 1999 | Adjunct Assistant Professor, Rochester Institute of Technology, Computer Science. Rochester, NY, United States. |
| 2000 - 2005 | Assistant Professor, The Ohio State University, College of Engineering, Computer Science and Engineering. Columbus, OH, United States. |
| 2005 - present | Associate Professor, The Ohio State University, Engineering, Computer Science and Engineering. Columbus, OH, United States. |
| 2005 - present | Associate Professor by Courtesy, The Ohio State University, Medicine, Biomedical Informatics. Columbus, OH, United States. |
| 2008 | Visiting Associate Professor, National University of Singapore, School of Computing. Singapore, Singapore. |
National
Srinivasan Parthasarathy, Seminar Presenter. 2000. Faculty Recruiting Talk: Active Mining in a Distributed Setting. Presented at Ohio State Univ.; Penn State Univ.; Rochester Institute of Tech; Rutgers Univ.; SUNY Buffalo; Univ. of Chicago; Univ. of Delaware; Univ. of Illinois; Univ. of Rochester; Univ. Texas at Dallas; and U. Toronto.
Srinivasan Parthasarathy, Presenter. 2002. Incremental Mining of Frequent Itemsets & On the Role of Data Mining in Biomedical Informatics: A tale of two projects. Presented at Lawrence Livermore National Laboratories Seminar Series. (May)
Srinivasan Parthasarathy, Presenter. 2004. High Performance Data Mining. Presented at Intel Research Seminar Series. Santa Clara, CA, USA.
Srinivasan Parthasarathy, Seminar Presenter. 2005. Data Mining on Modern and Emerging Architectures. Presented at Carnegie Mellon University, Database Seminar Series. Pittsburgh, USA. (November)
Srinivasan Parthasarathy, Seminar Presenter. 2006. High Performance Data Mining. Presented at Central State University.
Srinivasan Parthasarathy, Presenter. 2007. High Performance Data Mining on Modern and Emerging Architectures. Presented at IBM T. J. Watson Seminar Series. (January)
Srinivasan Parthasarathy, Seminar Presenter. 2007. Analyzing Protein Interaction Networks: A Case for Ensemble Clustering. Presented at University of Notre Dame, Computer Science Seminar Series. (February)
Srinivasan Parthasarathy, Seminar Presenter. 2009. Towards Visual Knowledge Discovery and Analytics. Presented at Wright State University, Knoesis and Computer Science Seminar Series. (September)
International
Srinivasan Parthasarathy, Presenter. 2001. Invited Speaker: Resource and Location Aware Data Mining. Presented at Institute for Operations Research and Management Sciences Annual Conference (INFORMS). (October)
Srinivasan Parthasarathy, Presenter. 2002. Invited Speaker: Resource-Aware Data Mining. Presented at Warren Neel Conference on the New Frontiers of Statistical Data Mining, Knowledge Discovery and E-Business. TN, USA. (June)
Srinivasan Parthasarathy, Presenter. 2004. Exploiting Structural and Spatial Relationships in Analyzing Biomedical Datasets. Presented at Institute for Operations Research and Management Sciences Annual Conference,. (October)
Srinivasan Parthasarathy, Seminar Presenter. 2005. Data Mining on Modern and Emerging Architectures. Presented at Indian Institute of Technology, Madras (Chennai), Seminar Series.
Srinivasan Parthasarathy, Presenter. 2005. Invited Speaker: Dynamic Classification of Defect Structures in Molecular Dynamics Simulation Data. Presented at Interface Conference. (June)
Srinivasan Parthasarathy, Presenter. 2005. Invited Speaker: High Performance Data Mining: Cache and I/O Conscious Algorithms. Presented at First Bertinoro Workshop on Data Mining. (October)
Srinivasan Parthasarathy, Chair. 2005. Invited Speaker: Novel Algorithms for Anomaly Detection using Machine Learning. Presented at Institute for Operations Research and Management Sciences Annual Conference (INFORMS). (October)
Srinivasan Parthasarathy, Presenter. 2006. Invited Tutorial: High Performance Data Mining: Consolidation and Renewed Bearing. Presented at Conference on the Management of Data (COMAD). N. Delhi, India.
Srinivasan Parthasarathy, Seminar Presenter. 2006. Mining Protein Interaction Networks. Presented at National University of Singapore Seminar Series. Singapore. (August)
Srinivasan Parthasarathy, Presenter. 2007. Invited Speaker: Architecture Conscious Data Mining: Current Progress and Future Outlook. Presented at NSF Next Generation Data Mining 2007. Baltimore, USA.
Srinivasan Parthasarathy, Presenter. 2007. Invited Keynote: Analyzing Protein Interaction Networks: A Case for Ensemble Clustering. Presented at IEEE ICDM Workshop on Bioinformatics. (October)
Srinivasan Parthasarathy, Presenter. 2007. Invited Speaker: Analyzing Protein Interaction Networks: A Case for Ensemble Clustering. Presented at Institute for Pure and Applied Mathematics, UCLA. (December)
Srinivasan Parthasarathy, Presenter. 2007. Invited Speaker: Architecture Conscious Data Mining: Current Progress and Future Outlook. Presented at NIPS Workshop on Scalable Machine Learning. Canada. (December)
Srinivasan Parthasarathy, Seminar Presenter. 2008. Architecture Conscious Data Mining: Current Progress and Future Outlook. Presented at National University of Singapore, Seminar Series. (April)
Srinivasan Parthasarathy, Seminar Presenter. 2008. New Results in Architecture-aware and High Performance Data Mining. Presented at University of Reading, Systems Seminar Series. UK. (June)
Srinivasan Parthasarathy, Presenter. 2008. Analyzing Protein Interaction Networks: A Case for Ensemble Clustering. Presented at National University of Singapore Seminar Series. (July)
Srinivasan Parthasarathy, Seminar Presenter. 2008. Towards Visual Knowledge Discovery and Analytics. Presented at National University of Singapore Seminar Series. (August)
Srinivasan Parthasarathy, Seminar Presenter. 2008. Towards Visual Knowledge Discovery and Analytics. Presented at Brasser Distinguished Seminar Series at the University of Sydney. Sydney, Australia. (August)
Srinivasan Parthasarathy, Seminar Presenter. 2008. Towards Visual Knowledge Discovery and Analytics. Presented at University of Melbourne Seminar Series. Melbourne, Australia. (September)
Srinivasan Parthasarathy, Presenter. 2008. Invited Keynote: Mining and Managing Tree Structured Data Efficiently. Presented at High Performance Data Mining Workshop. Pisa, Italy. (December)
Srinivasan Parthasarathy, Presenter. 2009. Invited Keynote: Architecture Conscious Data Mining: Consolidation and Renewed Bearing. Presented at Brazilian National Symposium on Databases (WAAMD). Fortaleza, Brazil. (October)
| 2000 | Session Chair. Workshop on Distributed and Parallel Knowledge Discovery. |
| 2001 | Session Chair (at conference). SIAM International Conference. |
| 2001 | Program Committee. Workshop on Ubiquitous Data Mining in Mobile and Distributed Environments. |
| 2001 - present | Steering Committee. High Performance Data Mining Workshop. |
| 2001 - 2008 | Program Committee. High Performance Data Mining Workshop. |
| 2002 - present | Program Committee. SIAM Data Mining. |
| 2002 | Program Committee. IEEE International Conference on Data Mining. |
| 2002 | Program Committee Chair. High Performance Data Mining Workshop. |
| 2002 - 2006 | Program Committee. BIOKDD Workshop on Biological Knwoledge Discoverya nd Data Mining. |
| 2003 | Program Committee. Workshop on Research Issues in Data Mining and Knowledge Discovery. |
| 2003 | Program Committee Chair. Workshop on Data Mining for Computer Security. |
| 2003 | Program Committee Chair. High Performance Data Mining Workshop. |
| 2004 - present | Program Committee. ACM International Conference on Knowledge Discovery and Data Mining. |
| 2004 | Program Committee. Workshop on Data Mining for Computer Security. |
| 2004 | Program Committee. SIAM Data Mining Workshop on Bioinformatics. |
| 2004 | Session Chair (at conference). SIAM International Conference on Data Mining. |
| 2004 | Tutorials Chair. SIAM Data Mining. |
| 2004 - 2005 | Program Committee. IEEE ICDM Temporal Data Mining Workshop. |
| 2005 | Program Committee. International Workshop on Distributed Data Mining in the Life Sciences. |
| 2005 | Program Committee. IEEE International Symposium on Bioinformatics and Bioengineering. |
| 2005 - 2008 | Program Committee. ACM Conference on Information and Knowledge Management. |
| 01/2005 - 2005 | Program Committee Chair. BIOKDD Workshop. |
| 2006 | Session Chair (at conference). ACM SIGKDD. |
| 2006 | External Evaluator for Tenure (Sameer Dua). Louisiana Tech. |
| 2006 | Workshops Chair. SIAM Data Mining. |
| 2006 | Program Vice Chair. SIAM Data Mining. |
| 2006 | Conference/General Chair. High Performance Data Mining Workshop. |
| 2006 - 2008 | Program Committee. ECML/PKDD: European Conference on Data Mining. |
| 2007 - present | Program Committee. World Wide Web (WWW) Conference. |
| 2007 | Invited Moderator of Plenary Panel. Annual ACM SIGKDD Conference. |
| 2007 | External Evaluator for Tenure (Chris Bailey-Kellog). Dartmouth. |
| 2007 | Program Committee. ACM SIGMOD Conference. |
| 2007 | Program Committee Chair. SIAM Data Mining. |
| 2007 | Program Committee. ACM/IEEE Supercomputing Conference (SC). |
| 2008 - present | Program Committee. IEEE International Conference on Data Engineering. |
| 2008 | External Evaluator for Tenure (Ian Davidson). University of California Davis. |
| 2008 | Senior PC/Area Chair. ECML/PKDD Conference. |
| 2008 | Program Vice Chair. IEEE International Conference on Data Mining. |
| 2008 | Program Committee. High Performance Computing (HiPC). |
| 2008 - 2009 | Conference/General Chair. SIAM Data Mining 2009. |
| 2009 - present | Program Committee. ACM Web Search and Data Mining (WSDM) Conference. |
| 2009 - present | Advisory Committee. NSF/KD2U Next Generation Data Mining Workshop. |
| 2009 | External Evaluator for Tenure (Jiong Yang). Case Western Reserve University. |
| 2009 | External Evaluator for Tenure (Dejing Dou). University of Oregon. |
| 2009 | External Evaluator for Tenure (Jieping Ye). Arizona State University. |
| 2009 | Senior PC/Area Chair. ACM SIGKDD 2009. |
| 2009 | Program Vice Chair. IEEE International Conference on Data Mining. |
| 2009 - 2010 | Conference/General Chair. SIAM Data Mining 2010. |
| 2009 - 2010 | Student Awards Chair. ACM Conference on Bioinformatics and Computational Biology (ACM-BCB), 2010. |
| 2000 - present | Reviewer and Panelist. Proposal Reviewer. National Science Foundation. Arlington, Virginia. Key achievements: Have participated in over 10+ panels for various CISE programs. |
| 2002 - 2004 | Proposal Reviewer. NASA Intelligent Systems. |
| 2005 - present | Panelist and Mail-In Reviewer. Proposal Reviewer. National Institutes of Health. Key achievements: Participated as a mail in reviewer and in the panel discussion for several proposals submitted to a study section over the last four years. |
| 2005 | Dissertation Committee of Xu Xin (NUS). External Examiner. National University of Singapore. |
| 2006 | Dissertation Committee of Pei Sun. External Examiner. University of Sydney. |
I am primarily interested in the areas of data mining, high performance computing, and database systems and their applications. Much of my work over the last five years lies either at the heart of these areas or at some combination of their intersection. I discuss specific foci of my work over the last 5 years in these areas. The major accomplishments and plans for the future are embedded in each of these themes.
High Performance Data Mining and Management: My work at the intersection of data mining and high performance computing, in the late nineties, resulted in the development of several novel scalable algorithms for mining dynamic and distributed datasets. Several of these papers have been quite influential both in terms of their wide-spread adaptation and in terms of citations from peer researchers. A substantive recent effort along these lines has focused on algorithms and runtime support for architecture conscious data mining and management. With recent advances in computer architectures (e.g. multi-cores, GPGPUs), my students and I have found that a large majority of data mining and management tasks heavily under-utilize the capabilities of such architectures. In an effort to redress this limitation we have made a number of fundamental algorithmic contributions over the last five years that demonstrate how several data mining and indexing algorithms can significantly benefit and effectively scale to tera- and peta- scale data by leveraging succinct data structures and cache-, memory-, disk- and network- aware designs. Based on some of the initial findings we are currently engaged in designing a prototype runtime framework wherein different system services that can aid and abet in designing and prototyping such applications (e.g. scheduling, data placement, I/O, caching) can be interconnected using simple plug-and-play semantics. As part of future work I plan to investigate the use of energy-aware algorithm designs for architectures ranging from embedded systems to cloud systems. Our work in this project has appeared in many of the top conferences and journals in the fields of high performance computing and data mining highlighted by a best paper award from the VLDB 2005 conference and an award nomination from SIGKDD 2006.
Extract, Analyze and Visualize: A Framework to Analyze Large Scale (Dynamic) Networks: A second major theme of my work aims to unravel common principles, events, algorithms and tools that govern network behavior across different domains ranging from social networks to biological networks. Of particular interest here are not just scalable algorithms for module discovery, link discovery, anomaly detection and event detection but also usable systems infrastructure that can enable researchers to effectively query, visualize, and analyze such networks under various trust, probabilistic and provenance models. In addition to several novel systemic and algorithmic contributions, I and my group have also worked closely with domain scientists making important contributions to their particular discipline. For example, working together with biologists, we have recently identified new methods to analyze and predict the functionality of protein-protein and protein-DNA interactions. The work on this project has appeared in many of the top conferences and journals in the field highlighted by a best paper at SIGKDD 2007 and an award nomination at ISMB 2009 (the flagship conferences in data mining and bioinformatics respectively). Moving forward I am particularly interested in techniques to integrate data from multiple sources and scaling up algorithms so that they may be able to handle peta-scale data.
Core Problems in Data Mining: As a researcher in data mining I am most definitely aware of and interested in core problems in the field. Over the last 5 years we have worked on several core problems ranging from new algorithms for frequent itemset mining to mining graph- and tree-structured data, and from the design and development of novel anomaly detection algorithms to the development of new data preprocessing algorithms for handling missing data and data discretization. Our work in the areas of frequent pattern mining and anomaly detection in particular has made a significant impact -- in terms of citations and researchers world wide who have used this work and in terms of awards (KDD 2006 nomination, ICDM 2002 award). Moving forward I am particularly interested in looking at techniques for anomaly detection on structured data (an open problem) and am also interested in the development of a framework for mining cause-and-effect patterns -- an idea that draws inspiration from work in temporal logic.
Database Systems: My interest in this related area is a very recent one. Together with my graduate student (Tatikonda) I have explored various mechanisms to index XML data. This work is already in wide use by researchers worldwide. We have also recently developed one of the first algorithms to hash tree structured data and I anticipate that this work will also have a significant impact. Together with colleagues at the National University of Singapore I have been exploring various core database problems. We recently proposed one of the first algorithms for indexing non-metric data -- a hitherto open problem in the field. We also recently developed a novel way to explore databases via the concept of "query by output" in order to facilitate database usability. Moving forward I am interested in the problems of non-metric indexing, and supporting provenance for databases housing large graphs and networks.
Applied Research: Applications lie at the heart of much data mining research. Over the last few years my group and I, together with collaborators from CSE, the Physics department, and the medical school, have been targeting several important real world problems along these lines. Our work with John Wilkins (Physics) has sought to understand the dynamics of defect evolution in materials through the analysis of molecular dynamics simulations. This has led to several publications on analyzing scientific data. Our work with Michael Twa and Mark Bullimore (Vision Sciences) has led to development of a novel modeling and classification system for the early detection of Keratoconus, a corneal eye disease that is the second leading cause of blindness in the US. Another major direction of work has been the development of a toolkit (MotifMiner) for mining structural motifs in molecular datasets. We have used this to analyze pharmaceutical data as well as for protein structure analysis. Work in these areas has resulted in software that has been used by domain scientists, significant awards from the data mining community (IEEE ICDM 2002, SIAM DM 2003, SIAM DM 2005, IEEE ICDM 2006 awards) and a number of peer citations. To ensure that we are making an impact in almost all cases we are ensuring that we are publishing at the top outlets in data mining as well as the specific domain in question. Moving forward a significant effort will be to continue working in these directions particularly with M. Twa (who is now at the U. Houston). As noted above I am also interested in analyzing biological networks (interaction networks, regulatory pathways) so this will be an important direction of research as well.
Winter 2004. The Ohio State University, COMPUTER & INFORMATION SCIENCE. INT ST-INF & DB SY 788G02. 3 credit hours
Spring 2004. The Ohio State University, COMPUTER & INFORMATION SCIENCE. GROUP STUDIES 694Z. 3 credit hours
Autumn 2004. The Ohio State University, COMPUTER SCIENCE & ENGINEERING. Introduction to Database Systems II 671. 3 credit hours
Spring 2005. The Ohio State University, COMPUTER SCIENCE & ENGINEERING. GROUP STUDIES 694Z. 3 credit hours
Autumn 2005. The Ohio State University, COMPUTER SCIENCE & ENGINEERING. INT ST-INF & DB SY 788R02. 3 credit hours
Spring 2006. The Ohio State University, COMPUTER SCIENCE & ENGINEERING. Introduction to Data Mining 674. 3 credit hours
Winter 2007. The Ohio State University, COMPUTER SCIENCE & ENGINEERING. Introduction to Database Systems II 671. 3 credit hours
Spring 2007. The Ohio State University, COMPUTER SCIENCE & ENGINEERING. Introduction to Data Mining 674. 3 credit hours
Winter 2009. The Ohio State University, COMPUTER SCIENCE & ENGINEERING. Introduction to Data Mining 674. 3 credit hours
Spring 2009. The Ohio State University, COMPUTER SCIENCE & ENGINEERING. INT ST-INF & DB SY 788R02. 3 credit hours