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Tuesday, May 12, 2020 | History

4 edition of Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data found in the catalog.

Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data

ACM-Sigmod International Conference on Management of Data (2000 Dallas, Tex.)

Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data

May 16-18, 2000, Dallas, Texas

by ACM-Sigmod International Conference on Management of Data (2000 Dallas, Tex.)

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  • 27 Currently reading

Published by Association for Computing Machinery in New York .
Written in English

    Subjects:
  • Database management -- Congresses,
  • Data structures (Computer science) -- Congresses

  • Edition Notes

    Other titlesACM SIGMOD, Dallas 2000., SIGMOD 2000., SIGMOD "00.
    Statementedited by Weidong Chen, Jeffrey F. Naughton and Philip A. Bernstein.
    GenreCongresses.
    SeriesSIGMOD record -- v. 29, issue 2., SIGMOD record -- v. 29, no. 2.
    ContributionsChen, Weidong., Naughton, Jeffrey F., Bernstein, Philip A., Association for Computing Machinery. Special Interest Group on Management of Data.
    The Physical Object
    Paginationxii, 604 p. :
    Number of Pages604
    ID Numbers
    Open LibraryOL18807141M
    ISBN 101581132182
    OCLC/WorldCa44537781

    In Proceedings of 28th ACM SIGMOD International Conference on Management of Data (SIGMOD ), pages , Providence, USA, June, Abstract Ranking queries are essential tools to process large amounts of probabilistic data that encode . Keynote talk at LSDS-IR, Analyzing the performance of top-k retrieval algorithms, The 6th ACM International Conference on Web Search and Data Mining (WSDM ), Rome, Italy, Selected publications (by area) Distributed Systems.

    Welcome to the home of the ACM SIGMOD/PODS Conference, to be held in Snowbird, Utah, USA on June , The annual ACM SIGMOD/PODS conference is a leading international forum for database researchers, practitioners, developers, and users to explore cutting-edge ideas and results, and to exchange techniques, tools, and experiences. Association rule learning is a rule-based machine learning method for discovering interesting relations between variables in large databases. It is intended to identify strong rules discovered in databases using some measures of interestingness. Based on the concept of strong rules, Rakesh Agrawal, Tomasz Imieliński and Arun Swami introduced association rules for discovering regularities. SIGMOD and PODS started out as separate conferences and joined in The registration process is common for both conferences and all registrants are invited to attend the social events. SIGMOD and PODS have separate program committees but registrants may attend any of the sessions - PODS or SIGMOD - during the four-day joint conference.

    ACM-Sigmod International Conference on Management of Data Das Sarma, A., Parameswaran, A., Widom, J. ; Abstract We study crowdsourcing quality management, that is, given worker responses to a set of tasks, our goal is to jointly estimate the true answers for the tasks, as well as the quality of the workers. Welcome to the Web site for the ACM SIGMOD/PODS Conference, to be held in the city of Athens, Greece, on June , The annual ACM SIGMOD/PODS conference is a leading international forum for database researchers, practitioners, developers, and users to explore cutting-edge ideas and results, and to exchange techniques, tools, and.   Xiao, Xiaokui, and Yufei Tao. Personalized privacy preservation. InProceedings of the ACM SIGMOD international conference on management of data, – SIGMOD ’ New York: ACM. Google ScholarCited by: 2.


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Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data by ACM-Sigmod International Conference on Management of Data (2000 Dallas, Tex.) Download PDF EPUB FB2

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