• DocumentCode
    3423491
  • Title

    Mining closed frequent itemset based on FP-Tree

  • Author

    Li, Shengwei ; Li, Lingsheng ; Han, Chong

  • Author_Institution
    Inst. of Data & Knowledge Eng., Henan Univ. Kaifeng, Kaifeng, China
  • fYear
    2009
  • fDate
    17-19 Aug. 2009
  • Firstpage
    354
  • Lastpage
    357
  • Abstract
    Closed frequent itemsets provide a minimal representation of the itemset without losing their support information and they can greatly reduce the number of patterns. So how to obtain all the closed frequent itemsets effectively is of good importance. This paper constructs a FP-tree according the matrix which only scans the database once. Also we design an algorithm to mine closed frequent itemsets which use the structure of the FP-tree. We construct a link for every single node in the FP-tree, and then give the closed frequent itemsets and the pruning of the link. This algorithm is an algorithm which only scans the database once, also it avoids the defect about patterns tree based on terms and can mine the closed frequent items efficiently.
  • Keywords
    data mining; tree data structures; FP-tree structure; closed frequent itemset mining; database scanning; Algorithm design and analysis; Association rules; Data mining; Data structures; Itemsets; Knowledge engineering; Pattern analysis; Transaction databases; Tree data structures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing, 2009, GRC '09. IEEE International Conference on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-1-4244-4830-2
  • Type

    conf

  • DOI
    10.1109/GRC.2009.5255099
  • Filename
    5255099