• DocumentCode
    2070616
  • Title

    Data Mining in Individuality Long-Distance Education System Applied Research

  • Author

    Wang, Lan

  • Author_Institution
    Comput. & Inf. Eng. Inst., TianJin Normal Univ., Tianjin, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    99
  • Lastpage
    103
  • Abstract
    After analyzing the insufficiency which existed in current most of long-distance education Websites, this paper introduces Data Mining technology, which is widely used in the field of the electronic commerce and so on, into the long-distance education system. Considering the difference between the long-distance education system and electronic commerce, this paper proposes a kind of system model based on Agent, and introduces how to construct a multi-dimensional data cube to evaluate the studies of students, which can be realized by OLAP Analysis Service tools provided by Microsoft SQL Server.
  • Keywords
    SQL; Web sites; data mining; distance learning; Individuality; Microsoft SQL server; OLAP analysis service tools; agent based model; data mining; electronic commerce; long distance education Websites; long distance education system applied research; multidimensional data cube; Computer science education; Data engineering; Data mining; Educational institutions; Educational technology; Electronic commerce; Electronic mail; Information science; Systems engineering education; Testing; Data Mining; OLAP; long-distance education; multi-dimensional data model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ISISE), 2009 Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-6325-1
  • Electronic_ISBN
    978-1-4244-6326-8
  • Type

    conf

  • DOI
    10.1109/ISISE.2009.128
  • Filename
    5447196