All documents are available in Adobe's Portable Document Format (PDF). You can download the latest version of Adobe's PDF reader by clicking here.

Journal Papers:

  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 (VLDBJ), 2006.
    [to appear]
  2. M. Otey, A. Ghoting, and S. Parthasarathy. Fast Distributed Outlier Detection in Mixed Attribute Data Sets. In Data Mining and Knowledge Discovery Journal (DMKD), 2006.
    [PDF]

Book Chapters:

  1. S. Parthasarathy, A. Ghoting, and M. Otey. Distributed Mining of Data Streams. In Data Streams: Models and Algorithms, Charu Aggarwal (editor), Springer, 2006.
    [Please email me for a copy]

Conference & Workshop Papers:

  1. G. Buehrer, S. Parthasarathy, A. Ghoting, Y-K. Chen, A. Nguyen, D. Kim, and P. Dubey. Efficient Frequent Pattern Mining on Shared Memory Systems: Implications for Chip Multiprocessor Architectures. In Proceedings of the SIGPLAN Workshop on Memory System Performance and Correctness (MSPC), 2006. 
    [to appear]
  2. A. Ghoting and S. Parthasarathy. Knowledge-Conscious Exploratory Data Clustering. In Proceedings of the European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), 2006.
    [PDF]
  3. G. Buehrer, S. Parthasarathy, and A. Ghoting. Efficient Out-of-core Frequent Itemset Mining on a Commodity PC. In Proceedings of the ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2006.
    [PDF]
  4. 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, 2006.
    [PDF]
  5. A. Ghoting, S. Parthasarathy, and M. Otey. Fast Mining of Distance-based Outliers in High Dimensional Datasets. In Proceedings of the SIAM International Conference on Data Mining (SDM), 2006.
    [PDF]
  6. M. Otey, S. Parthasarathy, and A. Ghoting. An Empirical Comparison of Outlier Detection Algorithms. In Proceedings of the ACM SIGKDD Workshop on Data Mining Methods for Anomaly Detection, 2005.
    [PDF]
  7. 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 Data Bases (VLDB), 2005. (Winner of the Best Paper Award - 1st place out of 631)
    [PDF]
  8. A. Ghoting, G. Buehrer, S. Parthasarathy, D. Kim, A. Nguyen, Y. Chen, 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.
    [PDF]
  9. 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 ACM International Conference on Supercomputing (ICS), 2005.
    [PDF]
  10. 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, 2005.
    [PDF]
  11. A. Ghoting, M. Otey, and S. Parthasarathy. LOADED: Link-based Outlier and Anomaly Detection in Evolving Data Sets. In Proceedings of the IEEE International Conference on Data Mining (ICDM), 2004.
    [PDF]
  12. A. Ghoting and S. Parthasarathy. Facilitating Interactive Distributed Data Stream Processing and Mining. In Proceedings of the IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2004.
    [PDF]
  13. A. Ghoting and S. Parthasarathy. DASPA: A Disk-Aware Stream Processing Architecture. In Proceedings of the SIAM Workshop on High Performance Data Mining (HPDM), 2003.
    [PDF]
  14. M. Otey, S. Parthasarathy, A. Ghoting, G. Li, S. Narravula, D. Panda. Towards NIC-based Intrusion Detection. In Proceedings of the ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2003.
    [PDF]
  15. C. Shahabi, L. Kaghazian, S. Mehta, A. Ghoting, G. Shanbhag, and M. McLaughlin. Understanding of User Behavior in Immersive Environments. In Touch in Virtual Environments: Haptics and the Design of Interactive Systems, Margaret L. McLaughlin, Joao Hespanha, and Gaurav Sukhatme, Editors, All of University of Southern California Prentice Hall, ISBN 0-13-065097-8.
    [PDF]
  16. C. Shahabi, L. Kaghazian, S. Mehta, A. Ghoting, G. Shanbhag, and M. McLaughlin. Analysis of Haptic Data for Sign Language Recognition. In Proceedings of the 9th International Conference on Universal Access in Human Computer Interaction, 2001.
    [PDF]