• DocumentCode
    2756524
  • Title

    Non-linear Correlation Techniques in Educational Data Mining

  • Author

    Liu, Bo ; Zhao, Jian-Hua

  • Author_Institution
    Sch. of Educ. Inf. Technol., South China Normal Univ., Guangzhou, China
  • Volume
    2
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    270
  • Lastpage
    274
  • Abstract
    There is such an increasing interest in data mining and educational systems currently that has made educational data mining as a new growing research community. This paper explores how to develope new methods for discovering knowledge of data from educational context. The non-linear correlation technology was introduced and applied in the mining process in the whole knowledge achieved. Meanwhile, we have applied these methods in the real course management datasets and found correspondent results for the educators.
  • Keywords
    courseware; data mining; educational context; educational data mining; nonlinear correlation techniques; real course management datasets; Application software; Association rules; Computer science education; Data mining; Educational technology; Electronic learning; Fuzzy systems; Information technology; Itemsets; Technology management; correlation discoverying; educational data mining; non-linear correlation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3735-1
  • Type

    conf

  • DOI
    10.1109/FSKD.2009.264
  • Filename
    5359450