Amol Ghoting

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 6

Top Topics

Electronic Health Records

Top Venues

Publications

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
LiGNN: Graph Neural Networks at LinkedIn. CoRR (2024)
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, 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
LiRank: Industrial Large Scale Ranking Models at LinkedIn. CoRR (2024)
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
LiGNN: Graph Neural Networks at LinkedIn. KDD (2024)
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
LiRank: Industrial Large Scale Ranking Models at LinkedIn. KDD (2024)
Kinjal Basu, Amol Ghoting, Rahul Mazumder, Yao Pan
ECLIPSE: An Extreme-Scale Linear Program Solver for Web-Applications. ICML (2020)
Kijung Shin, Amol Ghoting, Myunghwan Kim, Hema Raghavan
SWeG: Lossless and Lossy Summarization of Web-Scale Graphs. WWW (2019)
Kenney Ng, Amol Ghoting, Steven R. Steinhubl, Walter F. Stewart, Bradley A. Malin, Jimeng Sun
PARAMO: A PARAllel predictive MOdeling platform for healthcare analytic research using electronic health records. J. Biomed. Informatics 48 (2014)
Xintian Yang, Yiye Ruan, Srinivasan Parthasarathy, Amol Ghoting
Summarization via Pattern Utility and Ranking: A Novel Framework for Social Media Data Analytics. IEEE Data Eng. Bull. 36 (3) (2013)
Amol Ghoting, John A. Gunnels, Prabhanjan Kambadur, Edwin P. D. Pednault, Mark S. Squillante
Trends and outlook for the massive-scale analytics stack. IBM J. Res. Dev. 57 (3/4) (2013)
Xintian Yang, Amol Ghoting, Yiye Ruan, Srinivasan Parthasarathy
A framework for summarizing and analyzing twitter feeds. KDD (2012)
Vikas Sindhwani, Amol Ghoting
Large-scale distributed non-negative sparse coding and sparse dictionary learning. KDD (2012)
Prabhanjan Kambadur, Amol Ghoting, Anshul Gupta, Andrew Lumsdaine
Extending Task Parallelism for Frequent Pattern Mining CoRR (2012)
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)
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)
Philip C. Church, Andrzej Goscinski, Kathryn E. Holt, Michael Inouye, Amol Ghoting, Konstantin Makarychev, Matthias Reumann
Design of multiple sequence alignment algorithms on parallel, distributed memory supercomputers. EMBC (2011)
Vikas Sindhwani, Amol Ghoting, Edison Ting, Richard D. Lawrence
Extracting insights from social media with large-scale matrix approximations. IBM J. Res. Dev. 55 (5) (2011)
Salvatore Orlando, Gabriel Antoniu, Amol Ghoting, María S. Pérez-Hernández
Introduction. Euro-Par (1) (2011)
Amol Ghoting, Konstantin Makarychev
I/O efficient algorithms for serial and parallel suffix tree construction. ACM Trans. Database Syst. 35 (4) (2010)
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
Indexing genomic sequences on the IBM Blue Gene. SC (2009)
Amol Ghoting, Konstantin Makarychev
Serial and parallel methods for i/o efficient suffix tree construction. SIGMOD Conference (2009)
Prabhanjan Kambadur, Amol Ghoting, Anshul Gupta, Andrew Lumsdaine
Extending Task Parallelism For Frequent Pattern Mining. PARCO (2009)
Amol Ghoting, Srinivasan Parthasarathy, Matthew Eric Otey
Fast mining of distance-based outliers in high-dimensional datasets. Data Min. Knowl. Discov. 16 (3) (2008)
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)
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) (2007)
Gregory Buehrer, Srinivasan Parthasarathy, Amol Ghoting
Out-of-core frequent pattern mining on a commodity PC. KDD (2006)
Amol Ghoting, Srinivasan Parthasarathy
Knowledge-Conscious Data Clustering. PKDD (2006)
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, 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)
Amol Ghoting, Srinivasan Parthasarathy, Matthew Eric Otey
Fast Mining of Distance-Based Outliers in High Dimensional Datasets. SDM (2006)
Matthew Eric Otey, Amol Ghoting, Srinivasan Parthasarathy
Fast Distributed Outlier Detection in Mixed-Attribute Data Sets. Data Min. Knowl. Discov. 12 (2-3) (2006)
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)
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)
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)
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)
Amol Ghoting, Matthew Eric Otey, Srinivasan Parthasarathy
LOADED: Link-Based Outlier and Anomaly Detection in Evolving Data Sets. ICDM (2004)
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)
Cyrus Shahabi, Leila Kaghazian, Soham Mehta, Amol Ghoting, Gautam Shanbhag, Margaret McLaughlin
Analysis of haptic data for sign language recognition. HCI (2001)