Amol Ghoting

My publications on DBLP.

2009

• A. Ghoting and K. Makarychev.
  Indexing Genomic Sequences on the IBM Blue Gene.
  In Proceedings of the ACM/IEEE Conference on Supercomputing (SC), 2009.
  ACM Gordon Bell Prize Finalist.
• P. Kambadur, A. Gupta, A. Ghoting, H. Avron, and A. Lumsdaine.
  PFunc: Modern Task Parallelism For Modern High Performance Computing.
  In Proceedings of the ACM/IEEE Conference on Supercomputing (SC), 2009.
• P. Kambadur, A. Ghoting, A. Gupta, and A. Lumsdaine.
  Extending Task Parallelism For Frequent Pattern Mining.
  In Proceedings of the International Conference on Parallel Computing (ParCO), 2009.
• A. Ghoting and K. Makarychev.
  Serial and Parallel Methods for I/O Efficient Suffix Tree Construction.
  In Proceedings of the ACM International Conference on Management of Data (SIGMOD), 2009.
  Best of SIGMOD Selection. Invited for fast-track submission to ACM Transactions on Database Systems.

2008

• A. Ghoting, S. Parthasarathy, and M. Otey.
  Fast Mining of Distance-based Outliers in High Dimensional Datasets.
  Data Mining and Knowledge Discovery Journal (DMKD), 2008.
• S. Parthasarathy, S. Tatikonda, G. Buehrer, and A. Ghoting.
  Architecture Conscious Data Mining: Current Directions and Future Outlook.
  Book chapter in Next Generation of Data Mining, Chapman and Hall, Data Mining and Knowledge Discovery Series,
  by H. Kargupta (Editor), J. Han (Editor), P. S. Yu (Editor), R. Motwani (Editor), V. Kumar (Editor).

2007

• 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.
  IPDPS Workshop on Next Generation Software (NGS), 2007.
• 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), 2007.
• 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.
  In Proceedings of IPDPS Workshop on Next Generation Software (NGS), 2007.

2006

• 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.
• S. Parthasarathy, A. Ghoting, and M. Otey.
  Distributed Mining of Data Streams.
  In Data Streams: Models and Algorithms, Charu Aggarwal (editor), Springer, 2006.
• 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.
• 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.
• 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.
• 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 (NGS), 2006.
• 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.

2005

• 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.
• 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
• 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.
• 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.
• 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 (NGS), 2005.

2004

• 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.
• 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.

2003

• 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.
• 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.

2001

• 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.
• 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.