• DocumentCode
    3094158
  • Title

    The question about dimensional summarizability and its countermeasures

  • Author

    Xiaopeng, Dai ; Haibo, Li

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Hunan Agric. Univ., Changsha, China
  • Volume
    4
  • fYear
    2011
  • fDate
    11-13 March 2011
  • Firstpage
    414
  • Lastpage
    418
  • Abstract
    In OLAP application, aggregation is the usual technique to improve the response speed of the users´ query. However, there have been few attempts to completely characterize the ability to summarize measures along some dimensions. Based on this situation, this paper gives some basic definitions about the dimension summarizability at first, and represents its taxonomy. Then describes the technique of judging the summarizability in detail, and finally, its countermeasures are introduced.
  • Keywords
    data mining; data warehouses; OLAP application; aggregation; dimensional summarizability; Aggregates; Data mining; Information science; Knowledge based systems; Level set; Measurement; Semantics; OLAP; countermeasure; data warehouse; dimension constraints; dimension structure; summarizability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Research and Development (ICCRD), 2011 3rd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-61284-839-6
  • Type

    conf

  • DOI
    10.1109/ICCRD.2011.5763935
  • Filename
    5763935