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    Publications:


  1. A. Ghoting, G. Buehrer, S. Parthasarathy, D. Kim, A. Nguyen, Y.Chen, and P. Dubey
    Cache-Conscious Frequent Pattern Mining on Modern and Emerging Processors
    In International Journal on Very Large Data Bases. VLDB J. 16(1): 77-96 (2007)

  2. S. Tatikonda, S. Parthasarathy, and M. Goyder
    LCS-TRIM: Dynamic Programming Meets XML Indexing and Querying
    In Proceedings of 33rd International Conference on Very Large Data Bases (VLDB), September, 2007

  3. D. Ucar, I. Neuhaus, P. Ross-MacDonald, C.Tilford, S. Parthasarathy, N. Siemers, R. Ji
    Construction of a Reference Gene Association Network from Multiple Profiling Data: Application to Data Analysis
    To appear in Bioinformatics

  4. C. Wang, V. Satuluri and S. Parthasarathy
    Local Probabilistic Models for Link Prediction (to appear)
    In Proceedings of the IEEE International Conference on Data Mining (ICDM), October 2007

  5. S. Mehta, S. Parthasarathy and R. Machiraju
    Visual Exploration of Spatio-temporal Relationships in Scientific Data
    In IEEE Symposium on Visual Analytics Science and Technology, held with IEEE Conference on Visualization 2006

  6. S. Mehta, R. Machiraju and S. Parthasarathy,
    On Trajectory Representation for Scientific Data
    In International Conference on Data Mining (ICDM), 2006

  7. S. Asur, S. Parthasarathy and D. Ucar
    An Event-based Framework for Characterizing the Evolutionary Behavior of Interaction Graphs
    In the Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2007.

  8. D. Ucar, F. Altiparmak, H. Ferhatosmanoglu, S. Parthasarathy.
    Investigating the use of Extrinsic Similarity Measures for Microarray Analysis.
    In Proceedings of the BIOKDD workshop to be held at the ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2007

  9. S. Asur and S. Parthasarathy
    Correlation-based Feature Partitioning for Rare Event Detection in Wireless Sensor Networks
    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), 2007

  10. K. Marsolo and S. Parthasarathy
    On the Use of Structure and Sequence-Based Features for Protein Classification and Retrieval (to appear)
    Knowledge and Information Systems (KAIS)

  11. K. Marsolo, M. Twa, M. A. Bullimore, and S. Parthasarathy

    In Encyclopedia of Geographical Information Science, edited by Dr. Shashi Shekhar and Dr. Hui Xiong

  12. K. Marsolo, M. Twa, M. A. Bullimore, and S. Parthasarathy
    Ensemble-Learning By Model-based Spatial Averaging (to appear)
    A book chapter in Prediction and Discovery, American Mathematical Society Press, Contemporary Mathematics volume, edited by Dr. Verducci, Dr. Shen, and Dr. Lafferty

  13. D. Ucar, S. Parthasarathy and S. Asur
    Novel Pre-processing Techniques to Improve Functional Modularity in Protein-Protein Interaction Graphs
    13th International Conference on Intelligent Systems for Molecular Biology (ISMB) (Poster Paper)

  14. S. Asur, D. Ucar and S. Parthasarathy
    An Ensemble Framework for Clustering Protein-protein Interaction Graphs
    Proceedings of the 15th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2007

  15. H. Yang, S. Parthasarathy, D. Ucar

    Algorithms for Molecular Biology 2007, 2:3

  16. G. Buehrer, S. Parthasarathy, S. Tatikonda, T. Kurc, and J. Saltz
    Toward Terabyte Data Mining: An Architecture-conscious Solution
    In Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPOPP), March 2007, pp. 2-12

  17. A. Ghoting, G. Buehrer, M. Goyder, S. Tatikonda, X. Zhang, S. Parthasarathy, T. Kurc, and J. Saltz
    Knowledge and Cache-conscious Algorithm Design and Systems Support for Data Mining Algorithms
    Proceedings of the IPDPS Workshop on Next Generation Software, March 2007.

  18. K. Marsolo and S. Parthasarathy
    On the Use of Structure and Sequence-Based Features for Protein Classification and Retrieval.
    Proceedings of the 6th IEEE International Conference on Data Mining (ICDM), December 2006, pp. 394-403. Invited for fast track submission to Knowledge and Information Systems (KAIS)

  19. G. Buehrer, S. Parthasarathy, and Y. Chen
    Adaptive Parallel Graph Mining for CMP Architectures
    In Proceedings of the IEEE International Conference on Data Mining (ICDM), December 2006, pp. 97-106

  20. S. Tatikonda, S. Parthasarathy, and T. Kurc
    TRIPS and TIDES: New Algorithms for Tree Mining
    In Proceedings of the ACM International Conference on Information and Knowedge Management (CIKM), 2006 (to appear)

  21. K. Marsolo, S. Parthasarathy, and K. Ramamohanarao
    Structure-Based Querying of Proteins Using Wavelets
    In Proceedings of the ACM International Conference on Information and Knowedge Management (CIKM), 2006 (to appear)

  22. S. Parthasarathy, S. Mehta, and S. Srinivasan
    Robust Periodicity Detection Algorithms
    In Proceedings of the ACM International Conference on Information and Knowedge Management (CIKM), 2006 (to appear)

  23. D. Ucar, S. Asur, U. Catalyurek, and S. Parthasarathy
    Improving Functional Modularity in Protein-Protein Interactions Graphs Using Hub-induced Subgraphs
    In Proceedings of the European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), 2006.

  24. A. Ghoting and S. Parthasarathy
    Knowledge-Conscious Exploratory Data Clustering (to appear)
    In Proceedings of the European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), 2006.

  25. C. Wang and S. Parthasarathy
    Learning Approximate MRFs From Large Transaction Data (extended abstract) (to appear)
    in ICML workshop on Statistical Network Analysis: Models, Issues and New Directions, 2006.

  26. C. Wang and S. Parthasarathy
    Learning Approximate MRFs From Large Transaction Data
    In Proceedings of the European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), 2006.

  27. G. Buehrer, S. Parthasarathy, and A. Ghoting
    Out-of-core Frequent Pattern Mining on a Commodity PC
    Proceedings of the ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2006

  28. C. Wang and S. Parthasarathy
    Summarizing Itemset Patterns Using Probabilistic Models
    in Proceedings of the ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2006.

  29. S. Asur, S. Parthasarathy, and D. Ucar
    An Ensemble Approach for Clustering Scale­Free Graphs
    In the proceedings of LinkKDD workshop to be held at the ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2006

  30. S. Asur, P. Raman, M. E. Otey, and S. Parthasarathy
    A Model-based Approach for Mining Membrane Protein Crystallization Trials
    14th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2006

  31. S. Parthasarathy, A. Ghoting, and M. E. Otey
    A Survey of Distributed Mining of Data Streams
    a chapter in Data Streams: Models and Algorithms, Charu Aggarwal (editor), Springer, 2006 (to appear)

  32. A. Ghoting, G. Buehrer, S. Parthasarathy, D. Kim, A. Nguyen, Y.Chen, and P. Dubey
    Cache-Conscious Frequent Pattern Mining on Modern and Emerging Processors (to appear)
    In International Journal on Very Large Data Bases (VLDBJ), 2006.

  33. K. Marsolo*, M. Twa*, M. A. Bullimore and S. Parthasarathy (*denotes joint first authors)
    Spatial Modeling and Classification of Corneal Shape
    IEEE Transactions on Information Technology in Biomedicine (to appear)

  34. G. Buehrer, A. Ghoting, X. Zhang, S. Tatikonda, S. Parthasarathy, T.Kurc, and J. Saltz
    I/O Conscious Algorithm Design and Systems Support for Data Analysis on Emerging Architectures
    In Proceedings of IPDPS Workshop on Next Generation Software, April 2006

  35. G. Buehrer, S. Parthasarathy, D. Kim, Y.Chen, A. Nguyen, and P. Dubey
    Towards Data Mining on Emerging Architectures
    In Proceedings of 9th SIAM Workshop on High Performance and Distributed Mining (HPDM06), April 2006

  36. S. Tatikonda, S. Mehta, and S. Parthasarathy
    Containment Policies for Transmissible Diseases
    In Proceedings of SIAM Workshop on Spatial Data Mining (SDM06), April 2006.

  37. H. Yang and S. Parthasarathy
    Mining Spatial and Spatio-temporal Patterns in Scientific Data
    in proceedings of ICDE 2006 PhD Workshop.

  38. A. Ghoting, S. Parthasarathy, and M. E. Otey
    Fast Mining of Distance-Based Outliers in High-Dimensional Datasets
    In Proceedings of the Sixth SIAM International Conference on Data Mining, April 2006

  39. M. E. Otey, S. Parthasarathy, and D. C. Trost
    Dissimilarity Measures for Detecting Hepatotoxicity in Clinical Trial Data
    In Proceedings of the Sixth SIAM International Conference on Data Mining, April 2006

  40. C. Wang, S. Parthasarathy, and R. Jin
    A Decomposition-Based Probabilistic Framework for Estimating the Selectivity of XML Twig Queries
    In Proceedings of the International Conference on Extending Database Technology (EDBT), 2006

  41. K. Marsolo and S. Parthasarathy
    Alternate Representation of Distance Matrices for Characterization of Protein Structure
    In Proceedings of the Fifth International Conference on Data Mining (ICDM05), November 2005

  42. M. Otey and S. Parthasarathy
    A Dissimilarity Measure for Comparing Subsets of Data: Application to Multivariate Time Series
    In Proceedings of the ICDM Workshop on Temporal Data Mining, 2005

  43. K. Marsolo, S. Parthasarathy, M. Twa, and M. Bullimore
    A Model-Based Approach to Visualizing Classification Decisions for Patient Diagnosis
    In Proceedings of the 10th Conference on Artificial Intelligence in Medicine (AIME 05), July 2005

  44. K. Marsolo, S. Parthasarathy, and M. Twa
    Classification of Biomedical Data Through Model-based Spatial Averaging
    In Proceedings of the IEEE 5th Symposium on Bioinformatics & Bioengineering (BIBE05), October 2005

  45. K. Marsolo, S. Parthasarathy, and C. Ding
    A Multi-Level Approach to SCOP Fold Recognition
    In Proceedings of the IEEE 5th Symposium on Bioinformatics & Bioengineering (BIBE05), October 2005

  46. D. Ucar, S. Parthasarathy, S. Asur, and C. Wang
    Effective Pre-processing Strategies for Functional Clustering of a Protein-Protein Interactions Network
    In Proceedings of the IEEE 5th Symposium on Bioinformatics & Bioengineering (BIBE05), October 2005

  47. A. Ghoting, G. Buehrer, S. Parthasarathy, D. Kim, A. Nguyen, Y. Chen, and P. Dubey
    Cache-conscious Frequent Pattern Mining on a Modern Processor
    In Proceedings of the International Conference on Very Large Databases (VLDB), 2005

  48. H. Yang, S. Parthasarathy, and S. Mehta
    A Generalized Framework for Mining Spatio-temporal Patterns in Scientific Data
    In Proceedings of SIGKDD, 2005, Chicago

  49. H. Yang, S. Parthasarathy, and S. Mehta
    Mining Spatial Object Patterns in Scientific Data
    In Proceedings of International Joint Conference of Artificial Intelligence (IJCAI) 2005, Edinburgh, Scotland

  50. M. E. Otey, S. Parthasarathy, and A. Ghoting
    An Empirical Comparison of Outlier Detection Algorithms
    ACM SIGKDD 2005 Workshop on Data Mining Methods for Anomaly Detection

  51. M. E. Otey, A. Ghoting, S. Parthasarathy
    Fast Distributed Outlier Detection in Mixed-Attribute Data Sets
    Data Mining and Knowledge Discovery

  52. R. Jin, C. Wang, D. Polshakov, S. Parthasarathy, and G. Agrawal
    Discovering Frequent Topological Patterns from Graph Datasets
    In Proceedings of the ACM International Conference on Knowledge Discovery and Data Mining, 2005

  53. S. Mehta, S. Parthasarathy, and H. Yang
    Towards Unsupervised Correlation Preserving Discretization
    IEEE Transactions on Knowledge and Data Engineering, Vol. 17, No. 8, August 2005

  54. H. Yang, S. Parthasarathy, and S. Mehta
    Towards Association-based Spatio-temporal Reasoning
    In IJCAI2005 Workshop on Spatio-temporal Reasoning, Edinburgh, Scotland

  55. D. Ucar, S. Javaid and S. Parthasarathy
    Effective Information Integration from Disparate Microarray Datasets
    13th International Conference on Intelligent Systems for Molecular Biology (ISMB), Detroit, MI (Poster Paper).

  56. D. Polshakov, K. Marsolo and S. Parthasarathy
    Mining 3D-Motifs Using Physical-Chemical Constraints: Application to Cardiolipin-Binding Sites
    13th International Conference on Intelligent Systems for Molecular Biology (ISMB), Detroit, MI (Poster Paper).

  57. H. Wang, S. Parthasarathy, A. Ghoting, S. Tatikonda, G. Buehrer, T. Kurc, and J. Saltz
    Design of a Next Generation Sampling Service for Large Scale Data Analysis Applications
    In Proceedings of The 19th ACM International Conference on Supercomputing, June 2005

  58. A. Ghoting, G. Buehrer, S. Parthasarathy, D. Kim, A. Nguyen, Y. Chen, and P . Dubey
    A Characterization of Data Mining Algorithms on a Modern Processor
    In Proceedings of the SIGMOD workshop on Data Management on New Hardware (DaMoN), 2005

  59. H. Wang, A. Ghoting, G. Buehrer, S. Tatikonda, S. Parthasarathy, T. Kurc, and J. Saltz
    A Services Oriented Framework for Next Generation Data Analysis Centers
    In Proceedings of the IPDPS Workshop on Next Generation Software, April 2005

  60. S.Mehta, S.Barr, A.Choy, H.Yang, S.Parthasarathy, R.Machiraju, and J.Wilkins
    Dynamic Classification of Anomalous Structures in Molecular Dynamics Simulation Data
    In Proceeding of SIAM conference on Data Mining, 2005. Invited Paper to special session on "Best of SDM'05" at Interface 2005

  61. S. Mehta, S. Barry, T. Choyy, H. Yang, S. Parthasarathy, R. Machiraju, and J. Wilkins
    Dynamic Classification of Defect Structures in Molecular Dynamics Simulation Data
    In Proceedings of SIAM on Data Mining, 2005

  62. F. Schwartz, Y. C. Fang, and S. Parthasarathy
    Patterns of Evolution of Research Strands in the Hydrologic Sciences
    Journal of Hydrogeology 13:25-36, 2005

  63. M.D. Twa, S. Parthasarathy, C. Roberts, A. Mahmoud, and M. A. Bullimore
    Automated Decision Tree Classification of Keratoconus from Videokeratography
    Journal of Optometry and Vision Science, E-Abstract 1082 46:ARVO: 2005

  64. M. E. Otey, S. Parthasarathy, C. Wang, A. Veloso, and W. Meira, Jr.
    Parallel and Distributed Methods for Incremental Frequent Itemset Mining
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, Volume 34, Issue 6, pp. 2439-2450, December 2004.

  65. A. Ghoting, M. Otey, and S. Parthasarathy
    LOADED: Link-based Outlier and Anomaly Detection in Evolving Datasets
    In Proceedings of the International Conference on Data Mining, November 2004

  66. S. Mehta, S. Parthasarathy and H. Yang
    Correlation Preserving Discretization
    In Proceedings of the IEEE International Conference on Data Mining, 2004

  67. H. Li, K. Marsolo, S. Parthasarathy, D. Polshakov
    A New Approach to Protein Structure Mining and Alignment
    In Proceedings of the 4th Workshop on Data Mining and Bioinformatics, ACM SIGKDD 2004, Seattle, WA

  68. H. Yang, K. Marsolo, S. Parthasarathy and S. Mehta
    Discovering Spatial Relations Between Approximately Equivalent Patterns in Contact Maps
    In Proceedings of the 4th Workshop on Data Mining and Bioinformatics, ACM SIGKDD 2004, Seattle, WA

  69. S. Mehta, K. Hazzard, R. Machiraju, S. Parthasarathy and J. Wilkins
    Detection and Visualization of Anomalous Structures in Molecular Dynamics Simulation Data
    In Proceedings of IEEE conference on Visualization, 2004

  70. K. Marsolo, S. Parthasarathy, C. Wang, H. Li and D. Polshakov
    MotifMiner++: A High-Performance Data Mining Toolkit for Mining Biomolecular Structures.
    12th International Conference on Intelligent Systems for Molecular Biology (ISMB) and the 3rd European Conference on Computational Biology (ECCB), Glasgow, Scotland (Poster Paper).

  71. C. Wang and S. Parthasarathy
    Parallel Algorithms for Mining Frequent Structural Motifs in Scientific Data
    In Proceedings of the ACM International Conference on Supercomputing, St. Malo, France, June 2004

  72. A. Ghoting and S. Parthasarathy
    Facilitating Interactive Distributed Data Stream Processing and Mining
    In Proceedings of the International Parallel and Distributed Processing Symposium (IPDPS), April 2004

  73. M. Coatney and S. Parthasarathy
    MotifMiner: Efficient discovery of common substructures in biochemical molecules
    Knowledge and Information Systems, Vol. 7, Issue: 2, February 2005. pp. 202 - 223

  74. D. Thompson, S. Parthasarathy, R. Machiraju, and S. Lawrence
    Improvements to Response Surface Based Vehicle Design Using a Feature-centric Approach
    International Conference on Computational Science, pp. 764-771, 2004

  75. B. Rutt and S. Parthasarathy
    Exploiting Recurring Usage Patterns to Enhance Filesystem and Memory Subsystem Performance
    In Proceedings of the Pacific Asia Conference on Knowledge Discovery and Data Mining, 2004

  76. A. Veloso, W. Meira, S. Parthasarathy, and M. B. de Carvalho
    Efficient, Accurate and Privacy-Preserving Data Mining for Frequent Itemsets in Distributed Databases
    In Proceedings of the Brazilian Symposium on Databases, 2003

  77. A. Veloso, M. Otey, S. Parthasarathy, and W. Meira
    Parallel and Distributed Frequent Itemset Mining on Dynamic Datasets
    In Proceedings of the IEEE International Conference on High Performance Computing, pp. 184-193, December 2003

  78. M. Otey, A. Veloso, C. Wang, S. Parthasarathy, and W. Meira
    Mining Frequent Itemsets in Distributed and Dynamic Databases
    In Proceedings of the IEEE International Conference on Data Mining, pp. 617-620, November 2003

  79. S. Parthasarathy and C.C. Aggarwal
    On the Use of Conceptual Reconstruction for Mining Massively Incomplete Data Sets
    IEEE Transactions on Knowledge and Data Engineering, 2003

  80. M. Otey, S. Parthasarathy, A. Ghoting, G. Li, S. Narravula, and D. Panda
    Towards NIC-based Intrusion Detection
    In Proceedings of the ACM International Conference on Knowledge Discovery and Data Mining, August 2003

  81. R. Sundaresan, M. Lauria, T. Kurc, S. Parthasarathy, and J. Saltz
    Adaptive polling of Grid resource monitors using a slacker coherence model
    International Symposium on High Performance Distributed Computing, 2003

  82. A. Ghoting and S. Parthasarathy
    DASPA: A Disk-Aware Stream Processing Architecture
    In Proceedings of the Sixth SIAM Workshop on High Performance Data Mining, May 2003

  83. 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
    Feature Mining Paradigms for Scientific Data
    In Proceedings of the SIAM International Conference on Data Mining, May 2003

  84. M. Twa, S. Parthasarathy, and T. Raasch
    Decision Tree Classification of Spatial Data Patterns from Videokeratography using Zernicke Polynomials
    In Proceedings of the SIAM International Conference on Data Mining, May 2003

  85. R. Sundaresan, T. Kurc, M. Lauria, S. Parthasarathy, and J. Saltz
    A Slacker Coherence Protocol for Pull-based Monitoring of On-line Data Sources
    In Proceedings of the IEEE International Symposium on Cluster Computing and the Grid, May 2003

  86. A. Velso, W. Meira, M. deCarvalho, S. Parthasarathy, and M. Zaki
    Parallel, Incremental and Interactive Mining for Frequent Itemsets in Evolving Databases
    In Proceedings of the Sixth SIAM Workshop on High Performance Data Mining, May 2003

  87. M. Coatney and S. Parthasarathy
    MotifMiner: A General Toolkit for Efficiently Identifying Common Substructures in Molecules
    In Proceedings of the Third IEEE Symposium on Bioinformatics and Bioengineering, March 2003

  88. M. D. Twa, M. A. Bullimore, and S. Parthasarathy
    Application of Data Mining to Analysis of Corneal Shape
    In Proceedings of the Mopane Conference on Astigmatism, Aberrations and Vision, 2003

  89. S. Parthasarathy and M. Coatney
    Efficient Discovery of Common Substructures in Macromolecules
    In Proceedings of the IEEE International Conference on Data Mining, 2002

  90. S. Parthasarathy
    Efficient Progressive Sampling for Association Rules
    In Proceedings of the IEEE International Conference on Data Mining, 2002

  91. M.Otey, R. Noronha, G.Li, S. Parthasarathy, and D. Panda
    NIC-based Intrusion Detection: A feasibility study
    In Proceedings of the IEEE ICDM Workshop on Data Mining for Cyber Threat Analysis, December 2002

  92. R. Machiraju, S. Parthasarathy, J. Wilkins, D. Thompson, B. Gatlin, D. Richie, T. Choy, M. Jiang, S. Mehta, M. Coatney and, S. Barr
    Mining of Complex Evolutionary Phenomena
    Next Generation Data Mining, H. Kargupta and A. Joshi (eds.), MIT press, 2002

  93. Y.C. Fang, S. Parthasarathy, and F. Schwartz
    Using Clustering to Boost Text Classification
    In Proceedings of the IEEE ICDM Workshop on Text Mining, 2002

  94. A. Veloso, W. Meira, M. Carvalho, B. Possas, S. Parthasarathy, and M.Zaki
    Efficiently Mining Approximate Models of Associations in Evolving Databases
    In Proceedings of ECML/PKDD 2002

  95. H. Yang, S. Parthasarathy, and S. Reddy
    On the use of temporally constrained associations for web log mining
    In Proceedings of the fourth ACM SIGKDD Workshop on Web Mining for Usage Patterns and User Profiles, 2002

  96. S. Parthasarathy and A. Ramakrishnan
    Parallel Incremental 2D-Discretization on Dynamic Datasets
    In Proceedings of the International Parallel and Distributed Processing Symposium, 2002

  97. A. Veloso, W. Meira, M. Carvalho, B. Possas, S. Parthasarathy, and M.Zaki
    Mining Frequent Itemsets in Evolving Databases
    In Proceedings of the SIAM International Conference on Data Mining, 2002

  98. S. Parthasarathy and S. Dwarkadas
    Shared State for Distributed Interactive Data Mining Applications
    International Journal on Distributed and Parallel Databases, March 2002

  99. M.Coatney, S. Mehta, S. Barr, A. Choy, S. Parthasarathy, R. Machiraju, and J. Wilkins
    Defect Detection in Silicon and Alloys
    IEEE Workshop on Visualization in Bioinformatics and Cheminformatics, 2002

  100. H. Li and S. Parthasarathy
    Automatically Deriving Multi-level Protein Structures through Data Mining
    In Proceedings of the HiPC Workshop on Bioinformatics and Computational Biology, 2001

  101. C. C. Aggarwal and S. Parthasarathy
    Mining Massively Incomplete Data Sets by Conceptual Reconstruction
    In Proceedings of the ACM International Conference on Knowledge Discovery and Data Mining, 2001

  102. S. Parthasarathy and S.Dwarkadas
    Shared State for Client-Server Mining
    In Proceedings of the SIAM International Conference on Data Mining, 2001

  103. S. Parthasarathy
    Towards Network-Aware Data Mining
    In Proceedings of the IPDSP Workshop on Parallel and Distributed Data Mining, 2001

  104. S. Parthasarathy and R. Subramonian
    An Interactive Resource-Aware Framework for Distributed Data Mining
    IEEE TCDP Newsletter, Special Issue on Parallel and Distributed Data Mining, pp. 24-32, Spring 2001

  105. S. Parthasarathy, M. Zaki, M. Ogihara, and W. Li
    Parallel Data Mining for Association Rules on Shared-memory Systems
    Knowledge and Information Systems, Volume 3, Number 1, pp 1-29, Feb 2001

  106. Y.C. Fang, F. Schwartz, and S. Parthasarathy
    Data Mining in Geoscience Research
    Geological Society of America, Annual Meeting, 2001

  107. S. Parthasarathy and R. Subramonian
    Facilitating Data Mining on a Network of Workstations
    Advances in Distributed and Parallel Knowledge Discovery, AAAI Press 2000

  108. S. Parthasarathy and M.Ogihara
    Clustering Homogeneous Distributed Datasets
    In Proceedings of the International Conference on Practical Applications of Knowledge Discovery and Data Mining (PKDD), 2000

  109. S. Parthasarathy, M. J. Zaki, M. Ogihara, and S. Dwarkadas
    Sequence Mining in Dynamic and Interactive Environments
    W. Abramowicz and J. Zurada (eds.), Knowledge Discovery for Business Information Systems, Chapter 16, Kluwer Academic, 2000

  110. S. D. Chen, S. Dwarkadas, S. Parthasarathy, E. Pinheiro, and M. L. Scott
    InterWeave: A Middleware System for Distributed Shared State
    In Proceedings of LCR 2000, Rochester, NY, May 2000

  111. S. Parthasarathy and M.Ogihara
    Exploiting Dataset Similarity for Distributed Mining
    In Proceedings of the Workshop on High Performance Data Mining (co-located with IPPS/SPDP). May 2000

  112. S. Parthasarathy, S.Dwarkadas, and M. Ogihara
    Active Mining in a Distributed Setting
    Large-Scale Parallel Data Mining , LNCS Vol.1759, Springer-Verlag, 2000

  113. E. Pinheiro, D. Chen, S. Dwarkadas, S. Parthasarathy, and M. L. Scott
    S-DSM for Heterogeneous Machine Architectures
    2nd Workshop on Software Distributed Shared Memory held in conjunction with the International Conference on Supercomputing, May 2000

  114. M. Zaki, S. Parthasarathy, and W. Li
    Customized Dynamic Load Balancing for Cluster Computing
    Rajkumar Buyya (ed.), High Performance Cluster Computing: Architectures and Systems, volume 1, chapter 24, pp 582-607, Prentice Hall, 1999

  115. S. Parthasarathy, M.J. Zaki, M. Ogihara, and S. Dwarkadas
    Incremental and interactive sequence mining
    In Proceedings of the ACM International Conference on Information and Knowedge Management (CIKM99) ,Nov 1999

  116. S. Parthasarathy and R. Subramonian
    Facilitating Data Mining on a Network of Workstations
    In Proceedings of the IASTED International Conference on Parallel and Distributed Systems, Boston, Nov 1999

  117. S. Parthasarathy, S.Dwarkadas, and M. Ogihara
    Active Mining in a Distributed Setting
    In Proceedings of the Workshop on Parallel Knowledge Discovery in Databases WPKDD'99 held in conjunction with KDD'99, San Diego, CA

  118. S. Parthasarathy and S. Dwarkadas
    InterAct: Virtual Sharing for Interactive Client-Server Applications
    In Proceedings of the Fourth Workshop on Languages, Compilers, and Run-time Systems for Scalable Computers, May 1998

  119. S. Parthasarathy, M. Zaki, and W. Li
    Memory Placement Techniques for Parallel Association Mining
    In Proceedings of the International Conference on Knowledge Discovery and Data Mining (KDD), New York, August 1998

  120. R. Subramonian and S. Parthasarathy
    A Framework for Distributed Data Mining
    In Proceedings of the International Workshop on Distributed Data Mining (with KDD98), New York, Aug 1998. This paper was subsumed by the DDM book chapter.

  121. S. Parthasarathy, R. Subramonian, and R. Venkata
    Generalized Discretization for Summarization and Classification
    In Proceedings of the International Conference on the Practical Applications of Discovery and Datamining (PADD98), London, March 1998

  122. S. Parthasarathy and S. Dwarkadas
    InterAct: Virtual Sharing for Interactive Client-Server Applications
    Lecture Notes in Computer Science , Vol 1511, Springer 1998

  123. M. Zaki, S. Parthasarathy, M. Ogihara, and W. Li
    Parallel Algorithms for Discovery of Association Rules
    Paul Stolorz and Ron Musick (eds.), Scalable High Performance Computing for Knowledge Discovery and Data Mining, Kluwer Academic Publishers, 1998

  124. M. Zaki, S. Parthasarathy, M. Ogihara, and W. Li
    Parallel Algorithms for Discovery of Association Rules
    Data Mining and Knowledge Discovery: An International Journal, special issue on Scalable High-Performance Computing for KDD, pp 343-373, Vol. 1, No. 4, December 1997

  125. L. Kontothanassis, G. C. Hunt, R. Stets, N. Hardavellas, M. Cierniak, S. Parthasarathy, W. Meira Jr., S. Dwarkadas, and M. Scott
    VM-Based Shared Memory on Low-Latency, Remote-Memory-Access Networks
    In Proceedings of the International Symposium on Computer Architecture, pp. 157-169, 1997.

  126. R. Stets, S. Dwarkadas, N. Hardavellas, G. Hunt, L. Kontothanassis, S. Parthasarathy, and M. Scott
    CASHMERE-2L: Software Coherent Shared Memory on a Clustered Remote-Write Network
    In Proceedings of the Symposium on Operating Systems Principles, pp. 170-183, Saint Malo, France, October 1997

  127. M. Zaki, S. Parthasarathy, M. Ogihara, and W. Li
    New Algorithms for Fast Discovery of Association Rules
    In Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining (KDD), pp. 283-286, Newport, California, August, 1997

  128. M. Zaki, W. Li, and S. Parthasarathy
    Customized Dynamic Load Balancing for a Network of Workstations
    Journal of Parallel and Distributed Computing: Special Issue on Performance Evaluation, Scheduling, and Fault Tolerance, pp. 282-291, June 1997

  129. Mo. Zaki, S. Parthasarathy, and W. Li
    A Localized Algorithm for Parallel Association Mining
    In Proceedings of the 9th Annual ACM Symposium on Parallel Algorithms and Architectures (SPAA), pp. 321-330, Newport, Rhode Island, June 22-25, 1997

  130. M. Zaki, S. Parthasarathy, W. Li, and M. Ogihara
    Evaluation of Sampling for Data Mining of Association Rules
    In Proceedings of the Seventh International Workshop on Research Issues in Data Engineering (RIDE'97), pp.42-50, Birmingham, UK, April 7-8, 1997

  131. V. Gupta, S. Parthasarathy, and M. J. Zaki
    Arithmetic and Logic Operations with DNA
    Rubin and Wood (eds.), DIMACS Book Series on 3rd DIMACS Workshop on DNA Based Computers, pp. 149-160, Philadelphia, Pennsylvania, June 1997

  132. M. Zaki, M. Ogihara, S. Parthasarathy, and W. Li
    Parallel Data Mining for Association Rules on Shared-memory Multi-processors
    In Proceedings of Supercomputing 96 , Pittsburg PA

  133. G. C. Hunt, M. M. Michael, S. Parthasarathy, and M. L. Scott
    An Efficient Algorithm for Concurrent Priority Queue Heaps
    Information Processing Letters, Volume 60, Number 3, pp. 151-157, 11 November 1996

  134. 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
    Implementation of Cashmere
    In Proceedings of the Workshop on Scalable Shared Memory Multiprocessors, Held in conjunction with ASPLOS '96, Boston, MA, 5 October, 1996

  135. M. Zaki, W. Li, and S. Parthasarathy
    Customized Dynamic Load Balancing for a Network of Workstations
    In Proceedings of the 5th IEEE International Symposium on High-Performance Distributed Computing [HPDC-5], pp. 282-291, Syracuse, NY, August 1996

  136. S. Parthasarathy, W. Li, M. Cierniak, and M. Zaki
    Compile-Time Inter-Query Dependence Analysis
    In proceedings of IEEE Symposium on Parallel and Distributed Processing, pp. 522-529, 1996
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