• DocumentCode
    3292226
  • Title

    Compressing the Set of Frequent Sequential Patterns

  • Author

    Wang, Tao

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Hubei Univ. of Econ., Wuhan
  • Volume
    5
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    330
  • Lastpage
    334
  • Abstract
    Compressing the set of frequent sequential patterns is a method in order to address the problem of explosive number of output sequential patterns. In order to get high-quality compression, it first clusters frequent sequential patterns, and then select and output only a representative sequential pattern for each cluster such that the number of these representative sequential patterns is minimized. A greedy algorithm and an efficient candidate-based algorithm are proposed. The set of representative sequential patterns is a kind of subset of frequent sequential patterns. Experimental results show that it can achieve very good compression effect.
  • Keywords
    data compression; data mining; greedy algorithms; pattern clustering; candidate-based algorithm; frequent sequential pattern compression; frequent sequential pattern mining; greedy algorithm; Clustering algorithms; Computer science; Databases; Educational institutions; Explosives; Fuzzy systems; Greedy algorithms; Itemsets; Proposals; Data Mining; Representative Sequential Pattern; Sequential Pattern;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
  • Conference_Location
    Jinan Shandong
  • Print_ISBN
    978-0-7695-3305-6
  • Type

    conf

  • DOI
    10.1109/FSKD.2008.168
  • Filename
    4666546