Amol Ghoting

发表

Knowledge-Conscious Data Clustering

Srinivasan Parthasarathy, Amol Ghoting, 2006, PKDD.

Summarization via Pattern Utility and Ranking: A Novel Framework for Social Media Data Analytics

Srinivasan Parthasarathy, Amol Ghoting, Xintian Yang, 2013, IEEE Data Eng. Bull..

Towards NIC-based intrusion detection

Srinivasan Parthasarathy, Dhabaleswar K. Panda, Amol Ghoting, 2003, KDD '03.

I/O efficient algorithms for serial and parallel suffix tree construction

Konstantin Makarychev, Amol Ghoting, 2010, TODS.

Cache-conscious Frequent Pattern Mining on a Modern Processor

Srinivasan Parthasarathy, Pradeep Dubey, Gregory Buehrer, 2005, VLDB.

Fast Distributed Outlier Detection in Mixed-Attribute Data Sets

Srinivasan Parthasarathy, Amol Ghoting, Matthew Eric Otey, 2006, Data Mining and Knowledge Discovery.

Memory- and knowledge-conscious data mining

Srinivasan Parthasarathy, Amol Ghoting, 2007 .

Efficient pattern mining on shared memory systems: implications for chip multiprocessor architectures

Srinivasan Parthasarathy, Gregory Buehrer, Yen-Kuang Chen, 2006, MSPC '06.

Parallel and Distributed Data Management. Introduction

Gabriel Antoniu, Amol Ghoting, Salvatore Orlando, 2011, ICPP 2011.

Data Mining

Amol Ghoting, 2011, Encyclopedia of Parallel Computing.

Preface to the Fourth ICDM International Workshop on Knowledge Discovery Using Cloud and Distributed Computing Platforms

Lavanya Ramakrishnan, David E. Bernholdt, Latifur Khan, 2013, Industrial Conference on Data Mining.

A Characterization of Data Mining Workloads on a Modern Processor.

Pradeep Dubey, Daehyun Kim, Gregory Buehrer, 2005 .

IBM Research Report The Parallel Machine Learning (PML) Framework and the Transform Regression Algorithm

Edwin P. D. Pednault, Amol Ghoting, Sitaram Asur, 2009 .

Serial and parallel methods for i/o efficient suffix tree construction

Konstantin Makarychev, Amol Ghoting, 2009, SIGMOD Conference.

NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce

Ramakrishnan Kannan, Edwin P. D. Pednault, Amol Ghoting, 2011, KDD.

Fast mining of distance-based outliers in high-dimensional datasets

Srinivasan Parthasarathy, Amol Ghoting, Matthew Eric Otey, 2008, Data Mining and Knowledge Discovery.

Architecture Conscious Data Mining

Shirish Tatikonda, Gregory Buehrer, Amol Ghoting, 2008, Next Generation of Data Mining.

Massive-Scale Analytics

Mark S. Squillante, John A. Gunnels, Amol Ghoting, 2011, Encyclopedia of Parallel Computing.

Facilitating interactive distributed data stream processing and mining

Srinivasan Parthasarathy, Amol Ghoting, 2004, 18th International Parallel and Distributed Processing Symposium, 2004. Proceedings..

Fast Mining of Distance-Based Outliers in High Dimensional Datasets

Srinivasan Parthasarathy, Amol Ghoting, Matthew Eric Otey, 2006, SDM.

Trends and outlook for the massive-scale analytics stack

Mark S. Squillante, John A. Gunnels, Edwin P. D. Pednault, 2013, IBM J. Res. Dev..

Suffix Trees

Konstantin Makarychev, Amol Ghoting, K. Makarychev, 2011, Encyclopedia of Parallel Computing.

A framework for summarizing and analyzing twitter feeds

Srinivasan Parthasarathy, Amol Ghoting, Xintian Yang, 2012, KDD.

Design of multiple sequence alignment algorithms on parallel, distributed memory supercomputers

Matthias Reumann, Konstantin Makarychev, Amol Ghoting, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A characterization of data mining algorithms on a modern processor

Srinivasan Parthasarathy, Pradeep Dubey, Gregory Buehrer, 2005, DaMoN '05.

SystemML: Declarative machine learning on MapReduce

Shirish Tatikonda, Rajasekar Krishnamurthy, Berthold Reinwald, 2011, 2011 IEEE 27th International Conference on Data Engineering.

LOADED: link-based outlier and anomaly detection in evolving data sets

Srinivasan Parthasarathy, Amol Ghoting, Matthew Eric Otey, 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).

Design of a next generation sampling service for large scale data analysis applications

Huai Wang, Shirish Tatikonda, Srinivasan Parthasarathy, 2005, ICS '05.

ECLIPSE: An Extreme-Scale Linear Program Solver for Web-Applications

Kinjal Basu, Amol Ghoting, Rahul Mazumder, 2020, ICML.

PARAMO: A PARAllel predictive MOdeling platform for healthcare analytic research using electronic health records

Jimeng Sun, Kenney Ng, Bradley Malin, 2014, J. Biomed. Informatics.

Extending Task Parallelism For Frequent Pattern Mining pdf

Andrew Lumsdaine, Amol Ghoting, Prabhanjan Kambadur, 2012, PARCO.

Large-scale distributed non-negative sparse coding and sparse dictionary learning

Vikas Sindhwani, Amol Ghoting, V. Sindhwani, 2012, KDD.

Scaling Up Machine Learning: IBM Parallel Machine Learning Toolbox

Edwin P. D. Pednault, Amol Ghoting, Elad Yom-Tov, 2011 .

PFunc: modern task parallelism for modern high performance computing

Andrew Lumsdaine, Amol Ghoting, Prabhanjan Kambadur, 2009, Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis.

Analysis of haptic data for sign language recognition

Cyrus Shahabi, Amol Ghoting, Margaret McLaughlin, 2001, HCI.

MIMD Lattice Computation

Scott Pakin, Andrea Pietracaprina, William Gropp, 2011, Encyclopedia of Parallel Computing.

A services oriented framework for next generation data analysis centers

Huai Wang, Shirish Tatikonda, Srinivasan Parthasarathy, 2005, 19th IEEE International Parallel and Distributed Processing Symposium.

Cache-conscious frequent pattern mining on modern and emerging processors

Srinivasan Parthasarathy, Pradeep Dubey, Gregory Buehrer, 2007, The VLDB Journal.

Knowledge and Cache Conscious Algorithm Design and Systems Support for Data Mining Algorithms

Shirish Tatikonda, Srinivasan Parthasarathy, Xi Zhang, 2007, 2007 IEEE International Parallel and Distributed Processing Symposium.

Indexing genomic sequences on the IBM Blue Gene

Konstantin Makarychev, Amol Ghoting, 2009, Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis.

A Survey of Distributed Mining of Data Streams

Srinivasan Parthasarathy, Amol Ghoting, Matthew Eric Otey, 2007, Data Streams - Models and Algorithms.

SWeG: Lossless and Lossy Summarization of Web-Scale Graphs

Hema Raghavan, Amol Ghoting, Kijung Shin, 2019, WWW.

Out-of-core frequent pattern mining on a commodity PC

Srinivasan Parthasarathy, Gregory Buehrer, Amol Ghoting, 2006, KDD '06.

Extracting insights from social media with large-scale matrix approximations

Vikas Sindhwani, Amol Ghoting, Richard D. Lawrence, 2011, IBM J. Res. Dev..

I/O conscious algorithm design and systems support for data analysis on emerging architectures

Shirish Tatikonda, Srinivasan Parthasarathy, Xi Zhang, 2006, Proceedings 20th IEEE International Parallel & Distributed Processing Symposium.

Knowledge-Conscious Exploratory Data Clustering?

Srinivasan Parthasarathy, Amol Ghoting, S. Parthasarathy, 2006 .