• DocumentCode
    130872
  • Title

    A Improved PrefixSpan algorithm for sequential pattern mining

  • Author

    Liang Dong ; Wang Hong

  • Author_Institution
    Inst. of Inf. Sci. & Eng., Shandong Normal Univ., Jinan, China
  • fYear
    2014
  • fDate
    27-29 June 2014
  • Firstpage
    377
  • Lastpage
    380
  • Abstract
    Aiming at the problem of constructing huge amounts of projected databases in PrefixSpan algorithm, this paper proposes an Improved PrefixSpan algorithm for Mining Sequential Patterns, called BLSPM algorithm (based on bi-level Sequential Patterns Mining). The algorithm use duplicated projection and certain specific sequential patterns pruning, reduce the scale of projected databases and the runtime of scanning projected databases, thus, the efficiency of algorithm could be raised up greatly, and all needed sequential patterns are obtained. Experiment results shows that BLSPM algorithm is more efficient than PrefixSpan algorithm in large databases.
  • Keywords
    data mining; database management systems; BLSPM algorithm; PrefixSpan algorithm; bi-level sequential patterns mining; duplicated projection; projected databases; sequential patterns pruning; Algorithm design and analysis; Data mining; Databases; Heuristic algorithms; Iron; Runtime; Software algorithms; PrefixSpan algorithm; prejected database; sequential pattern;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4799-3278-8
  • Type

    conf

  • DOI
    10.1109/ICSESS.2014.6933586
  • Filename
    6933586