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Aditya Parameswaran

Showing results (1-10 of 18) with videos related to

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KDD : Proceedings. International Conference on Knowledge Discovery & Data Mining|February 10, 2017
Squish: Near-Optimal Compression for Archival of Relational DatasetsYihan Gao, Aditya Parameswaran
Bulletin of the Technical Committee on Data Engineering|September 28, 2017
Optimizing Open-Ended Crowdsourcing: The Next Frontier in Crowdsourced Data ManagementAditya Parameswaran, Akash Das Sarma, Vipul Venkataraman
Proceedings. International Conference on Data Engineering|February 18, 2017
Interactive Data Exploration with Smart Drill-DownManas Joglekar, Hector Garcia-Molina, Aditya Parameswaran
Proceedings of the VLDB Endowment. International Conference on Very Large Data Bases|February 5, 2016
Smart Drill-Down: A New Data Exploration OperatorManas Joglekar, Hector Garcia-Molina, Aditya Parameswaran
Proceedings. ACM-SIGMOD International Conference on Management of Data|February 3, 2017
Towards Globally Optimal Crowdsourcing Quality Management: The Uniform Worker SettingAkash Das Sarma, Aditya Parameswaran, Jennifer Widom
KDD : Proceedings. International Conference on Knowledge Discovery & Data Mining|December 30, 2015
Debiasing Crowdsourced BatchesHonglei Zhuang, Aditya Parameswaran, Dan Roth, et al.
Patterns (New York, N.Y.)|November 18, 2020
Uncovering Effective Explanations for Interactive Genomic Data AnalysisSilu Huang, Charles Blatti, Saurabh Sinha, et al.
Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management|February 18, 2017
FacetGist: Collective Extraction of Document Facets in Large Technical CorporaTarique Siddiqui, Xiang Ren, Aditya Parameswaran, et al.
Proceedings of the VLDB Endowment. International Conference on Very Large Data Bases|January 19, 2016
SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual AnalyticsManasi Vartak, Sajjadur Rahman, Samuel Madden, et al.
Proceedings of the VLDB Endowment. International Conference on Very Large Data Bases|July 29, 2017
Principles of Dataset Versioning: Exploring the Recreation/Storage TradeoffSouvik Bhattacherjee, Amit Chavan, Silu Huang, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
KDD : Proceedings. International Conference on Knowledge Discovery & Data Mining|February 10, 2017
Squish: Near-Optimal Compression for Archival of Relational DatasetsYihan Gao, Aditya Parameswaran
Bulletin of the Technical Committee on Data Engineering|September 28, 2017
Optimizing Open-Ended Crowdsourcing: The Next Frontier in Crowdsourced Data ManagementAditya Parameswaran, Akash Das Sarma, Vipul Venkataraman
Proceedings. International Conference on Data Engineering|February 18, 2017
Interactive Data Exploration with Smart Drill-DownManas Joglekar, Hector Garcia-Molina, Aditya Parameswaran
Proceedings of the VLDB Endowment. International Conference on Very Large Data Bases|February 5, 2016
Smart Drill-Down: A New Data Exploration OperatorManas Joglekar, Hector Garcia-Molina, Aditya Parameswaran
Proceedings. ACM-SIGMOD International Conference on Management of Data|February 3, 2017
Towards Globally Optimal Crowdsourcing Quality Management: The Uniform Worker SettingAkash Das Sarma, Aditya Parameswaran, Jennifer Widom
KDD : Proceedings. International Conference on Knowledge Discovery & Data Mining|December 30, 2015
Debiasing Crowdsourced BatchesHonglei Zhuang, Aditya Parameswaran, Dan Roth, et al.
Patterns (New York, N.Y.)|November 18, 2020
Uncovering Effective Explanations for Interactive Genomic Data AnalysisSilu Huang, Charles Blatti, Saurabh Sinha, et al.
Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management|February 18, 2017
FacetGist: Collective Extraction of Document Facets in Large Technical CorporaTarique Siddiqui, Xiang Ren, Aditya Parameswaran, et al.
Proceedings of the VLDB Endowment. International Conference on Very Large Data Bases|January 19, 2016
SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual AnalyticsManasi Vartak, Sajjadur Rahman, Samuel Madden, et al.
Proceedings of the VLDB Endowment. International Conference on Very Large Data Bases|July 29, 2017
Principles of Dataset Versioning: Exploring the Recreation/Storage TradeoffSouvik Bhattacherjee, Amit Chavan, Silu Huang, et al.
Pageof 2