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ORCIDAmol Ghoting
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- affiliation: Ohio State University, Columbus, USA
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2020 – today
- 2024
[c28]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: 4793-4803- [c27]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: 4804-4815 - [i3]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. CoRR abs/2402.06859 (2024) - [i2]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 abs/2402.11139 (2024) - 2020
- [c26]Kinjal Basu, Amol Ghoting, Rahul Mazumder, Yao Pan:
ECLIPSE: An Extreme-Scale Linear Program Solver for Web-Applications. ICML 2020: 704-714
2010 – 2019
- 2019
- [c25]Kijung Shin, Amol Ghoting, Myunghwan Kim, Hema Raghavan:
SWeG: Lossless and Lossy Summarization of Web-Scale Graphs. WWW 2019: 1679-1690 - 2014
- [j8]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: 160-170 (2014) - 2013
- [j7]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): 67-76 (2013) - [j6]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): 2 (2013) - 2012
- [c24]Xintian Yang, Amol Ghoting, Yiye Ruan, Srinivasan Parthasarathy:
A framework for summarizing and analyzing twitter feeds. KDD 2012: 370-378 - [c23]Vikas Sindhwani, Amol Ghoting:
Large-scale distributed non-negative sparse coding and sparse dictionary learning. KDD 2012: 489-497 - [i1]Prabhanjan Kambadur, Amol Ghoting, Anshul Gupta, Andrew Lumsdaine:
Extending Task Parallelism for Frequent Pattern Mining. CoRR abs/1211.1658 (2012) - 2011
- [j5]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): 9 (2011) - [c22]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: 924-927 - [c21]Salvatore Orlando, Gabriel Antoniu, Amol Ghoting, María S. Pérez:
Introduction. Euro-Par (1) 2011: 351-352 - [c20]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 - [c19]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 - [r3]Amol Ghoting:
Data Mining. Encyclopedia of Parallel Computing 2011: 518-523 - [r2]Amol Ghoting, John A. Gunnels, Mark S. Squillante:
Massive-Scale Analytics. Encyclopedia of Parallel Computing 2011: 1089-1095 - [r1]Amol Ghoting, Konstantin Makarychev:
Suffix Trees. Encyclopedia of Parallel Computing 2011: 1949-1955 - 2010
- [j4]Amol Ghoting, Konstantin Makarychev:
I/O efficient algorithms for serial and parallel suffix tree construction. ACM Trans. Database Syst. 35(4): 25:1-25:37 (2010)
2000 – 2009
- 2009
- [c18]Prabhanjan Kambadur, Amol Ghoting, Anshul Gupta, Andrew Lumsdaine:
Extending Task Parallelism For Frequent Pattern Mining. PARCO 2009: 289-296 - [c17]Amol Ghoting, Konstantin Makarychev:
Indexing genomic sequences on the IBM Blue Gene. SC 2009 - [c16]Prabhanjan Kambadur, Anshul Gupta, Amol Ghoting, Haim Avron, Andrew Lumsdaine:
PFunc: modern task parallelism for modern high performance computing. SC 2009 - [c15]Amol Ghoting, Konstantin Makarychev:
Serial and parallel methods for i/o efficient suffix tree construction. SIGMOD Conference 2009: 827-840 - 2008
- [j3]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) - [p2]Srinivasan Parthasarathy, Shirish Tatikonda, Gregory Buehrer, Amol Ghoting:
Architecture Conscious Data Mining. Next Generation of Data Mining 2008 - 2007
- [j2]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) - [c14]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 - [p1]Srinivasan Parthasarathy, Amol Ghoting, Matthew Eric Otey:
A Survey of Distributed Mining of Data Streams. Data Streams - Models and Algorithms 2007: 289-307 - 2006
- [j1]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) - [c13]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 - [c12]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 - [c11]Gregory Buehrer, Srinivasan Parthasarathy, Amol Ghoting:
Out-of-core frequent pattern mining on a commodity PC. KDD 2006: 86-95 - [c10]Amol Ghoting, Srinivasan Parthasarathy:
Knowledge-Conscious Data Clustering. PKDD 2006: 511-519 - [c9]Amol Ghoting, Srinivasan Parthasarathy, Matthew Eric Otey:
Fast Mining of Distance-Based Outliers in High Dimensional Datasets. SDM 2006: 609-613 - 2005
- [c8]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 - [c7]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 - [c6]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 - [c5]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 - 2004
- [c4]Amol Ghoting, Matthew Eric Otey, Srinivasan Parthasarathy:
LOADED: Link-Based Outlier and Anomaly Detection in Evolving Data Sets. ICDM 2004: 387-390 - [c3]Amol Ghoting, Srinivasan Parthasarathy:
Facilitating Interactive Distributed Data Stream Processing and Mining. IPDPS 2004 - 2003
- [c2]Matthew Eric Otey, Srinivasan Parthasarathy, Amol Ghoting, G. Li, Sundeep Narravula, Dhabaleswar K. Panda:
Towards NIC-based intrusion detection. KDD 2003: 723-728 - 2001
- [c1]Cyrus Shahabi, Leila Kaghazian, Soham Mehta, Amol Ghoting, Gautam Shanbhag, Margaret McLaughlin:
Analysis of haptic data for sign language recognition. HCI 2001: 441-445
Coauthor Index
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last updated on 2024-10-31 20:19 CET by the dblp team
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