• DocumentCode
    1989342
  • Title

    Research and Application of Association Rules Mining in Group-Based Teaching

  • Author

    Li, Bo ; Li, Renpu ; Xu, Banghai ; Yao, Qing

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Ludong Univ., Yantai
  • Volume
    2
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    33
  • Lastpage
    36
  • Abstract
    For increasing the efficiency of mining association rules in student score database, this paper presents an improved algorithm that doesnpsilat extract all rules, but extracts a subset of all rules that is called rule-generating set. We can use it to get all rules. The number of the rule-generating set is smaller than all rules, so the efficiency of mining is increased. The algorithm in this paper extracts rule from a group of nodes. We can use smaller memory sizes storing rules and increase the speed of finding rules. The paper also proposed a kind of data structure used storing the rule-generating set and an algorithm that can use the rule-generating set to get normal rule-generating set. Lastly the method of deciding an item set existing or not was presented for application system.
  • Keywords
    data mining; teaching; association rules mining; group-based teaching; rule-generating set; student score database; Application software; Association rules; Computer science; Computer science education; Data mining; Educational technology; Geoscience and remote sensing; Itemsets; Lattices; Transaction databases; association rules; concept lattice; data mining; group-based teaching; rule-generating set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3563-0
  • Type

    conf

  • DOI
    10.1109/ETTandGRS.2008.96
  • Filename
    5070302