• DocumentCode
    2345315
  • Title

    Materialized View Selection in Data Warehousing

  • Author

    Dhote, Chandrashekhar A. ; Ali, M.S.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., PRM Inst. of Technol. & Res., Amravati
  • fYear
    2007
  • fDate
    2-4 April 2007
  • Firstpage
    843
  • Lastpage
    847
  • Abstract
    Everyday an enormous amount of data is retrieved and transmitted. To avoid the chaos, data mining and warehousing is used. A data warehouse is a set of materialized views defined over remote source relations. These materialized views must be maintained in response to actual relation updates in the remote sources. During the initial design and evolution of data warehouse, the designer has to handle problems of selecting views to materialize in the data warehouse. A design objective can be the minimization of a cost function or a constraint of available space. AND/OR DAG expression is used to represent alternative ways of evaluating multiple queries and views and sub expression sharing. Proposed approach can be used to optimize the views for the better performance of the data warehouse
  • Keywords
    data mining; data warehouses; data mining; data warehousing; materialized view selection; Chaos; Computer science; Cost function; Data engineering; Data warehouses; Frequency; Information retrieval; Materials science and technology; Query processing; Warehousing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology, 2007. ITNG '07. Fourth International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    0-7695-2776-0
  • Type

    conf

  • DOI
    10.1109/ITNG.2007.122
  • Filename
    4151787