Amol Ghoting

Xintian Yang, Amol Ghoting, Yiye Ruan, Srinivasan Parthasarathy: A framework for summarizing and analyzing twitter feeds. KDD 2012: 370-378

Vikas Sindhwani, Amol Ghoting: Large-scale distributed non-negative sparse coding and sparse dictionary learning. KDD 2012: 489-497

Prabhanjan Kambadur, Amol Ghoting, Anshul Gupta, Andrew Lumsdaine: Extending Task Parallelism for Frequent Pattern Mining. CoRR abs/1211.1658 (2012)

Vikas Sindhwani, Amol Ghoting, Edison Ting, Richard D. Lawrence: Extracting insights from social media with large-scale matrix approximations. IBM Journal of Research and Development 55(5): 9 (2011)

Salvatore Orlando, Gabriel Antoniu, Amol Ghoting, María S. Pérez-Hernández: Introduction. Euro-Par (1) 2011: 351-352

Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D. Pednault, Berthold Reinwald, Vikas Sindhwani, Shirish Tatikonda, Yuanyuan Tian, Shivakumar Vaithyanathan: SystemML: Declarative machine learning on MapReduce. ICDE 2011: 231-242

Amol Ghoting, Prabhanjan Kambadur, Edwin P. D. Pednault, Ramakrishnan Kannan: NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce. KDD 2011: 334-342

Amol Ghoting: Data Mining. Encyclopedia of Parallel Computing 2011: 518-523

Amol Ghoting, John A. Gunnels, Mark S. Squillante: Massive-Scale Analytics. Encyclopedia of Parallel Computing 2011: 1089-1095

Amol Ghoting, Konstantin Makarychev: Suffix Trees. Encyclopedia of Parallel Computing 2011: 1949-1955

Amol Ghoting, Konstantin Makarychev: I/O efficient algorithms for serial and parallel suffix tree construction. ACM Trans. Database Syst. 35(4): 25 (2010)

Amol Ghoting, Konstantin Makarychev: Indexing genomic sequences on the IBM Blue Gene. SC 2009

Prabhanjan Kambadur, Anshul Gupta, Amol Ghoting, Haim Avron, Andrew Lumsdaine: PFunc: modern task parallelism for modern high performance computing. SC 2009

Amol Ghoting, Konstantin Makarychev: Serial and parallel methods for i/o efficient suffix tree construction. SIGMOD Conference 2009: 827-840

Amol Ghoting, Srinivasan Parthasarathy, Matthew Eric Otey: Fast mining of distance-based outliers in high-dimensional datasets. Data Min. Knowl. Discov. 16(3): 349-364 (2008)

Amol Ghoting, Gregory Buehrer, Srinivasan Parthasarathy, Daehyun Kim, Anthony D. Nguyen, Yen-Kuang Chen, Pradeep Dubey: Cache-conscious frequent pattern mining on modern and emerging processors. VLDB J. 16(1): 77-96 (2007)

Amol Ghoting, Gregory Buehrer, Matthew Goyder, Shirish Tatikonda, Xi Zhang, Srinivasan Parthasarathy, Tahsin M. Kurç, Joel H. Saltz: Knowledge and Cache Conscious Algorithm Design and Systems Support for Data Mining Algorithms. IPDPS 2007: 1-6

Srinivasan Parthasarathy, Amol Ghoting, Matthew Eric Otey: A Survey of Distributed Mining of Data Streams. Data Streams - Models and Algorithms 2007: 289-307

Matthew Eric Otey, Amol Ghoting, Srinivasan Parthasarathy: Fast Distributed Outlier Detection in Mixed-Attribute Data Sets. Data Min. Knowl. Discov. 12(2-3): 203-228 (2006)

Gregory Buehrer, Yen-Kuang Chen, Srinivasan Parthasarathy, Anthony D. Nguyen, Amol Ghoting, Daehyun Kim: Efficient pattern mining on shared memory systems: implications for chip multiprocessor architectures. Memory System Performance and Correctness 2006: 31-40

Gregory Buehrer, Amol Ghoting, Xi Zhang, Shirish Tatikonda, Srinivasan Parthasarathy, Tahsin M. Kurç, Joel H. Saltz: I/O conscious algorithm design and systems support for data analysis on emerging architectures. IPDPS 2006

Gregory Buehrer, Srinivasan Parthasarathy, Amol Ghoting: Out-of-core frequent pattern mining on a commodity PC. KDD 2006: 86-95

Amol Ghoting, Srinivasan Parthasarathy: Knowledge-Conscious Data Clustering. PKDD 2006: 511-519

Amol Ghoting, Srinivasan Parthasarathy, Matthew Eric Otey: Fast Mining of Distance-Based Outliers in High Dimensional Datasets. SDM 2006

Amol Ghoting, Gregory Buehrer, Srinivasan Parthasarathy, Daehyun Kim, Anthony D. Nguyen, Yen-Kuang Chen, Pradeep Dubey: A Characterization of Data Mining Workloads on a Modern Processor. DaMoN 2005

Huai Wang, Srinivasan Parthasarathy, Amol Ghoting, Shirish Tatikonda, Gregory Buehrer, Tahsin M. Kurç, Joel H. Saltz: Design of a next generation sampling service for large scale data analysis applications. ICS 2005: 91-100

Huai Wang, Amol Ghoting, Gregory Buehrer, Shirish Tatikonda, Srinivasan Parthasarathy, Tahsin M. Kurç, Joel H. Saltz: A Services Oriented Framework for Next Generation Data Analysis Centers. IPDPS 2005

Amol Ghoting, Gregory Buehrer, Srinivasan Parthasarathy, Daehyun Kim, Anthony D. Nguyen, Yen-Kuang Chen, Pradeep Dubey: Cache-conscious Frequent Pattern Mining on a Modern Processor. VLDB 2005: 577-588

Amol Ghoting, Matthew Eric Otey, Srinivasan Parthasarathy: LOADED: Link-Based Outlier and Anomaly Detection in Evolving Data Sets. ICDM 2004: 387-390

Amol Ghoting, Srinivasan Parthasarathy: Facilitating Interactive Distributed Data Stream Processing and Mining. IPDPS 2004

Matthew Eric Otey, Srinivasan Parthasarathy, Amol Ghoting, G. Li, Sundeep Narravula, Dhabaleswar K. Panda: Towards NIC-based intrusion detection. KDD 2003: 723-728

Cyrus Shahabi, Leila Kaghazian, Soham Mehta, Amol Ghoting, Gautam Shanbhag, Margaret McLaughlin: Analysis of haptic data for sign language recognition. HCI 2001: 441-445