• DocumentCode
    1965709
  • Title

    Research of OLAM Module Based on SQL Server

  • Author

    Rao, Wenbi ; Guo, Yali ; Wang, Junqiang

  • Author_Institution
    Wuhan Univ. of Technol., Wuhan
  • Volume
    4
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    419
  • Lastpage
    422
  • Abstract
    The on-line analytical mining (OLAM) seamless combines the on-line analytical process (OLAP) and the data mining (DM) techniques. It not only contains both advantages respectively, but also proposes a new highlight in the whole fields of data analysis. This paper will use the seamless integration techniques, provided by SQL SERVER 2005, to study OLAM technique.
  • Keywords
    SQL; data analysis; data mining; OLAM module; SQL SERVER 2005; data analysis; data mining; online analytical mining; online analytical process; Clustering algorithms; Data analysis; Data mining; Data warehouses; Databases; Delta modulation; Iterative algorithms; Memory; Multidimensional systems; User interfaces; Data Mining; On-line Analytical Mining (OLAM); On-line Analytical Process (OLAP); SQL SERVER 2005;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.741
  • Filename
    4722648