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    Author information
    First name: Rakesh Agrawal
    Last name: 0001
    Company: Microsoft Research
    DBLP: a/RAgrawal
    Rating: (4)
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    Below you find the publications which have been written by this author.

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    Conference paper
    Rakesh Agrawal 0001, Tomasz Imielinski, Arun N. Swami.
    Mining Association Rules between Sets of Items in Large Databases.
    Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, Washington, D.C., May 26-28, 1993. 1993 (2)
    2 comments
    1993
    Conference paper
    Rakesh Agrawal 0001, Michael J. Carey 0001, Miron Livny.
    Concurrency Control Performance Modeling: Alternatives and Implications.
    ACM Trans. Database Syst. 1987, Volume 12 (1)
    1 comment
    1987
    Conference paper
    Sunita Sarawagi, Shiby Thomas, Rakesh Agrawal 0001.
    Integrating Mining with Relational Database Systems: Alternatives and Implications.
    SIGMOD 1998, Proceedings ACM SIGMOD International Conference on Management of Data, June 2-4, 1998, Seattle, Washington, USA. 1998 (1)
    1 comment
    1998
    Conference paper
    Rakesh Agrawal 0001, Behzad Golshan, Evangelos E. Papalexakis.
    Homogeneity in Web Search Results: Diagnosis and Mitigation.
    ACM TIST 2016, Volume 8 (0) 2017
    Conference paper
    Daniel J. Abadi, Rakesh Agrawal 0001, Anastasia Ailamaki, Magdalena Balazinska, Philip A. Bernstein, Michael J. Carey 0001, Surajit Chaudhuri, Jeffrey Dean, AnHai Doan, Michael J. Franklin, Johannes Gehrke, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, H. V. Jagadish, Donald Kossmann, Samuel Madden, Sharad Mehrotra, Tova Milo, Jeffrey F. Naughton, Raghu Ramakrishnan, Volker Markl, Christopher Olston, Beng Chin Ooi, Christopher Ré, Dan Suciu, Michael Stonebraker, Todd Walter, Jennifer Widom.
    The Beckman report on database research.
    Commun. ACM 2016, Volume 59 (0) 2016
    Conference paper
    Bryan Hooi, Hyun Ah Song, Evangelos E. Papalexakis, Rakesh Agrawal 0001, Christos Faloutsos.
    Matrices, Compression, Learning Curves: Formulation, and the GroupNteach Algorithms.
    Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II 2016 (0) 2016
    Conference paper
    Rakesh Agrawal 0001, Behzad Golshan, Evangelos E. Papalexakis.
    Overlap in the Web Search Results of Google and Bing.
    J. Web Science 2016, Volume 2 (0) 2016
    Conference paper
    Rakesh Agrawal 0001.
    Data-Driven Education: Some opportunities and Challenges.
    Proceedings of the 9th International Conference on Educational Data Mining, EDM 2016, Raleigh, North Carolina, USA, June 29 - July 2, 2016 2016 (0) 2016
    Conference paper
    Rakesh Agrawal 0001, Behzad Golshan, Evangelos E. Papalexakis.
    Toward Data-Driven Design of Educational Courses: A Feasibility Study.
    Proceedings of the 9th International Conference on Educational Data Mining, EDM 2016, Raleigh, North Carolina, USA, June 29 - July 2, 2016 2016 (0) 2016
    Conference paper
    Rakesh Agrawal 0001.
    Toward Data-Driven Education: CIKM-2016 Keynote.
    Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016 2016 (0) 2016
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