Amol Ghoting

According to our database, Amol Ghoting authored at least 40 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

LiRank: Industrial Large Scale Ranking Models at LinkedIn.

Fedor Borisyuk, Mingzhou Zhou, Qingquan Song, Siyu Zhu, Birjodh Tiwana, Ganesh Parameswaran, Siddharth Dangi, Lars Hertel, Qiang Charles Xiao, Xiaochen Hou, Yunbo Ouyang, Aman Gupta, Sheallika Singh, Dan Liu, Hailing Cheng, Lei Le, Jonathan Hung, S. Sathiya Keerthi, Ruoyan Wang, Fengyu Zhang, Mohit Kothari, Chen Zhu, Daqi Sun, Yun Dai, Xun Luan, Sirou Zhu, Zhiwei Wang, Neil Daftary, Qianqi Shen, Chengming Jiang, Haichao Wei, Maneesh Varshney, Amol Ghoting, Souvik Ghosh

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

LiGNN: Graph Neural Networks at LinkedIn.

Fedor Borisyuk, Shihai He, Yunbo Ouyang, Morteza Ramezani, Peng Du, Xiaochen Hou, Chengming Jiang, Nitin Pasumarthy, Priya Bannur, Birjodh Tiwana, Ping Liu, Siddharth Dangi, Daqi Sun, Zhoutao Pei, Xiao Shi, Sirou Zhu, Qianqi Shen, Kuang-Hsuan Lee, David Stein, Baolei Li, Haichao Wei, Amol Ghoting, Souvik Ghosh

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2020

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

Kinjal Basu, Amol Ghoting, Rahul Mazumder, Yao Pan

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

SWeG: Lossless and Lossy Summarization of Web-Scale Graphs.

Kijung Shin, Amol Ghoting, Myunghwan Kim, Hema Raghavan

Proceedings of the World Wide Web Conference, 2019

2014

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

Kenney Ng, Amol Ghoting, Steven R. Steinhubl, Walter F. Stewart, Bradley A. Malin, Jimeng Sun

J. Biomed. Informatics, 2014

2013

Trends and outlook for the massive-scale analytics stack.

Amol Ghoting, John A. Gunnels, Prabhanjan Kambadur, Edwin P. D. Pednault, Mark S. Squillante

IBM J. Res. Dev., 2013

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

Xintian Yang, Yiye Ruan, Srinivasan Parthasarathy, Amol Ghoting

IEEE Data Eng. Bull., 2013

2012

A framework for summarizing and analyzing twitter feeds.

Xintian Yang, Amol Ghoting, Yiye Ruan, Srinivasan Parthasarathy

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

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

Vikas Sindhwani, Amol Ghoting

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011

Suffix Trees.

Amol Ghoting, Konstantin Makarychev

Proceedings of the Encyclopedia of Parallel Computing, 2011

Massive-Scale Analytics.

Amol Ghoting, John A. Gunnels, Mark S. Squillante

Proceedings of the Encyclopedia of Parallel Computing, 2011

Data Mining.

Amol Ghoting

Proceedings of the Encyclopedia of Parallel Computing, 2011

Extracting insights from social media with large-scale matrix approximations.

Vikas Sindhwani, Amol Ghoting, Edison Ting, Richard D. Lawrence

IBM J. Res. Dev., 2011

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

Amol Ghoting, Prabhanjan Kambadur, Edwin P. D. Pednault, Ramakrishnan Kannan

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

SystemML: Declarative machine learning on MapReduce.

Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D. Pednault, Berthold Reinwald, Vikas Sindhwani, Shirish Tatikonda, Yuanyuan Tian, Shivakumar Vaithyanathan

Proceedings of the 27th International Conference on Data Engineering, 2011

Introduction.

Salvatore Orlando, Gabriel Antoniu, Amol Ghoting, María S. Pérez

Proceedings of the Euro-Par 2011 Parallel Processing - 17th International Conference, 2011

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

Philip C. Church, Andrzej Goscinski, Kathryn E. Holt, Michael Inouye, Amol Ghoting, Konstantin Makarychev, Matthias Reumann

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010

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

Amol Ghoting, Konstantin Makarychev

ACM Trans. Database Syst., 2010

2009

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

Amol Ghoting, Konstantin Makarychev

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

PFunc: modern task parallelism for modern high performance computing.

Prabhanjan Kambadur, Anshul Gupta, Amol Ghoting, Haim Avron, Andrew Lumsdaine

Proceedings of the ACM/IEEE Conference on High Performance Computing, 2009

Indexing genomic sequences on the IBM Blue Gene.

Amol Ghoting, Konstantin Makarychev

Proceedings of the ACM/IEEE Conference on High Performance Computing, 2009

Extending Task Parallelism For Frequent Pattern Mining.

Prabhanjan Kambadur, Amol Ghoting, Anshul Gupta, Andrew Lumsdaine

Proceedings of the Parallel Computing: From Multicores and GPU's to Petascale, 2009

2008

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

Amol Ghoting, Srinivasan Parthasarathy, Matthew Eric Otey

Data Min. Knowl. Discov., 2008

Architecture Conscious Data Mining.

Srinivasan Parthasarathy, Shirish Tatikonda, Gregory Buehrer, Amol Ghoting

Proceedings of the Next Generation of Data Mining., 2008

2007

A Survey of Distributed Mining of Data Streams.

Srinivasan Parthasarathy, Amol Ghoting, Matthew Eric Otey

Proceedings of the Data Streams - Models and Algorithms, 2007

Cache-conscious frequent pattern mining on modern and emerging processors.

Amol Ghoting, Gregory Buehrer, Srinivasan Parthasarathy, Daehyun Kim, Anthony D. Nguyen, Yen-Kuang Chen, Pradeep Dubey

VLDB J., 2007

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

Amol Ghoting, Gregory Buehrer, Matthew Goyder, Shirish Tatikonda, Xi Zhang, Srinivasan Parthasarathy, Tahsin M. Kurç, Joel H. Saltz

Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007

2006

Fast Distributed Outlier Detection in Mixed-Attribute Data Sets.

Matthew Eric Otey, Amol Ghoting, Srinivasan Parthasarathy

Data Min. Knowl. Discov., 2006

Knowledge-Conscious Data Clustering.

Amol Ghoting, Srinivasan Parthasarathy

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

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

Gregory Buehrer, Srinivasan Parthasarathy, Amol Ghoting

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

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

Gregory Buehrer, Amol Ghoting, Xi Zhang, Shirish Tatikonda, Srinivasan Parthasarathy, Tahsin M. Kurç, Joel H. Saltz

Proceedings of the 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), 2006

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

Gregory Buehrer, Yen-Kuang Chen, Srinivasan Parthasarathy, Anthony D. Nguyen, Amol Ghoting, Daehyun Kim

Proceedings of the 2006 workshop on Memory System Performance and Correctness, 2006

2005

Cache-conscious Frequent Pattern Mining on a Modern Processor.

Amol Ghoting, Gregory Buehrer, Srinivasan Parthasarathy, Daehyun Kim, Anthony D. Nguyen, Yen-Kuang Chen, Pradeep Dubey

Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005

A Services Oriented Framework for Next Generation Data Analysis Centers.

Huai Wang, Amol Ghoting, Gregory Buehrer, Shirish Tatikonda, Srinivasan Parthasarathy, Tahsin M. Kurç, Joel H. Saltz

Proceedings of the 19th International Parallel and Distributed Processing Symposium (IPDPS 2005), 2005

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

Huai Wang, Srinivasan Parthasarathy, Amol Ghoting, Shirish Tatikonda, Gregory Buehrer, Tahsin M. Kurç, Joel H. Saltz

Proceedings of the 19th Annual International Conference on Supercomputing, 2005

A Characterization of Data Mining Workloads on a Modern Processor.

Amol Ghoting, Gregory Buehrer, Srinivasan Parthasarathy, Daehyun Kim, Anthony D. Nguyen, Yen-Kuang Chen, Pradeep Dubey

Proceedings of the Workshop on Data Management on New Hardware, 2005

2004

Facilitating Interactive Distributed Data Stream Processing and Mining.

Amol Ghoting, Srinivasan Parthasarathy

Proceedings of the 18th International Parallel and Distributed Processing Symposium (IPDPS 2004), 2004

LOADED: Link-Based Outlier and Anomaly Detection in Evolving Data Sets.

Amol Ghoting, Matthew Eric Otey, Srinivasan Parthasarathy

Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

2003

Towards NIC-based intrusion detection.

Matthew Eric Otey, Srinivasan Parthasarathy, Amol Ghoting, G. Li, Sundeep Narravula, Dhabaleswar K. Panda

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

2001

Analysis of haptic data for sign language recognition.

Cyrus Shahabi, Leila Kaghazian, Soham Mehta, Amol Ghoting, Gautam Shanbhag, Margaret McLaughlin

Proceedings of the Universal Access In HCI: Towards an Information Society for All, 2001