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

Towards NIC-based intrusion detection. - Matthew Eric Otey; Srinivasan Parthasarathy 001; Amol Ghoting; G. Li; Sundeep Narravula; Dhabaleswar K. Panda 001 (KDD, 2003)

LOADED: Link-Based Outlier and Anomaly Detection in Evolving Data Sets. - Amol Ghoting; Matthew Eric Otey; Srinivasan Parthasarathy 001 (ICDM, 2004)

Facilitating Interactive Distributed Data Stream Processing and Mining. - Amol Ghoting; Srinivasan Parthasarathy 001 (IPDPS, 2004)

A Characterization of Data Mining Workloads on a Modern Processor. - Amol Ghoting; Gregory Buehrer; Srinivasan Parthasarathy 001; Daehyun Kim 001; Anthony D. Nguyen; Yen-Kuang Chen; Pradeep Dubey (DaMoN, 2005)

Design of a next generation sampling service for large scale data analysis applications. - Huai Wang; Srinivasan Parthasarathy 001; Amol Ghoting; Shirish Tatikonda; Gregory Buehrer; Tahsin M. Kurç; Joel H. Saltz (ICS, 2005)

A Services Oriented Framework for Next Generation Data Analysis Centers. - Huai Wang; Amol Ghoting; Gregory Buehrer; Shirish Tatikonda; Srinivasan Parthasarathy 001; Tahsin M. Kurç; Joel H. Saltz (IPDPS, 2005)

Cache-conscious Frequent Pattern Mining on a Modern Processor. - Amol Ghoting; Gregory Buehrer; Srinivasan Parthasarathy 001; Daehyun Kim 001; Anthony D. Nguyen; Yen-Kuang Chen; Pradeep Dubey (VLDB, 2005)

Efficient pattern mining on shared memory systems: implications for chip multiprocessor architectures. - Gregory Buehrer; Yen-Kuang Chen; Srinivasan Parthasarathy 001; Anthony D. Nguyen; Amol Ghoting; Daehyun Kim 001 (Memory System Performance and Correctness, 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 001; Tahsin M. Kurç; Joel H. Saltz (IPDPS, 2006)

Out-of-core frequent pattern mining on a commodity PC. - Gregory Buehrer; Srinivasan Parthasarathy 001; Amol Ghoting (KDD, 2006)

Knowledge-Conscious Data Clustering. - Amol Ghoting; Srinivasan Parthasarathy 001 (PKDD, 2006)

Fast Distributed Outlier Detection in Mixed-Attribute Data Sets. - Matthew Eric Otey; Amol Ghoting; Srinivasan Parthasarathy 001 (Data Min. Knowl. Discov., 2006)

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 001; Tahsin M. Kurç; Joel H. Saltz (IPDPS, 2007)

Cache-conscious frequent pattern mining on modern and emerging processors. - Amol Ghoting; Gregory Buehrer; Srinivasan Parthasarathy 001; Daehyun Kim 001; Anthony D. Nguyen; Yen-Kuang Chen; Pradeep Dubey (VLDB J., 2007)

A Survey of Distributed Mining of Data Streams. - Srinivasan Parthasarathy 001; Amol Ghoting; Matthew Eric Otey (Data Streams - Models and Algorithms, 2007)

Architecture Conscious Data Mining. - Srinivasan Parthasarathy 001; Shirish Tatikonda; Gregory Buehrer; Amol Ghoting (Next Generation of Data Mining, 2008)

Fast mining of distance-based outliers in high-dimensional datasets. - Amol Ghoting; Srinivasan Parthasarathy 001; Matthew Eric Otey (Data Min. Knowl. Discov., 2008)

Extending Task Parallelism For Frequent Pattern Mining. - Prabhanjan Kambadur; Amol Ghoting; Anshul Gupta; Andrew Lumsdaine (PARCO, 2009)

Indexing genomic sequences on the IBM Blue Gene. - Amol Ghoting; Konstantin Makarychev (SC, 2009)

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

Serial and parallel methods for i/o efficient suffix tree construction. - Amol Ghoting; Konstantin Makarychev (SIGMOD Conference, 2009)

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

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 (EMBC, 2011)

Introduction. - Salvatore Orlando 001; Gabriel Antoniu; Amol Ghoting; María S. Pérez 001 (Euro-Par (1), 2011)

SystemML: Declarative machine learning on MapReduce. - Amol Ghoting; Rajasekar Krishnamurthy; Edwin P. D. Pednault; Berthold Reinwald; Vikas Sindhwani; Shirish Tatikonda; Yuanyuan Tian 001; Shivakumar Vaithyanathan (ICDE, 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 (KDD, 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)

Data Mining. - Amol Ghoting (Encyclopedia of Parallel Computing, 2011)

Massive-Scale Analytics. - Amol Ghoting; John A. Gunnels; Mark S. Squillante (Encyclopedia of Parallel Computing, 2011)

Suffix Trees. - Amol Ghoting; Konstantin Makarychev (Encyclopedia of Parallel Computing, 2011)

Large-scale distributed non-negative sparse coding and sparse dictionary learning. - Vikas Sindhwani; Amol Ghoting (KDD, 2012)

A framework for summarizing and analyzing twitter feeds. - Xintian Yang; Amol Ghoting; Yiye Ruan; Srinivasan Parthasarathy 001 (KDD, 2012)

Summarization via Pattern Utility and Ranking: A Novel Framework for Social Media Data Analytics. - Xintian Yang; Yiye Ruan; Srinivasan Parthasarathy 001; Amol Ghoting (IEEE Data Eng. Bull., 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)

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 001 (J. Biomed. Informatics, 2014)

SWeG: Lossless and Lossy Summarization of Web-Scale Graphs. - Kijung Shin; Amol Ghoting; Myunghwan Kim 002; Hema Raghavan (WWW, 2019)

ECLIPSE: An Extreme-Scale Linear Program Solver for Web-Applications. - Kinjal Basu 001; Amol Ghoting; Rahul Mazumder; Yao Pan (ICML, 2020)

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 002; Siddharth Dangi; et al. (KDD, 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; et al. (KDD, 2024)