• DocumentCode
    2851382
  • Title

    An Improved Algorithm for Mining Association Rules Based Complete Sub-Graph

  • Author

    Wang, Yufang ; Tian, Pei

  • Author_Institution
    Inf. Eng. Sch., Commun. Univ. of China, Beijing, China
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper introduces the concept of data mining, basic idea of the improved algorithm based on graph-based for mining association rules, its algorithm, and the improved algorithm based on fully sub-graph to find frequent item sets, from which compared the improved algorithm with the original one. The improved algorithm can take lots of help to look for the association.
  • Keywords
    data mining; graph theory; association rules; complete sub-graph algorithm; data mining; Artificial intelligence; Association rules; Computer industry; Computer networks; Data engineering; Data mining; Itemsets; Memory; Mining industry; Visual databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4994-1
  • Type

    conf

  • DOI
    10.1109/ICIECS.2009.5365410
  • Filename
    5365410
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2851382