• DocumentCode
    167526
  • Title

    Comparisons of typical algorithms in negative sequential pattern mining

  • Author

    Xiangjun Dong ; Yongshun Gong ; Lulin Zhao

  • Author_Institution
    Sch. of Inf., Qilu Univ. of Technol., Jinan, China
  • fYear
    2014
  • fDate
    8-9 May 2014
  • Firstpage
    387
  • Lastpage
    390
  • Abstract
    Negative sequential pattern (NSP), which contains both non-occurring and occurring items, can play more important roles than positive sequential pattern (PSP) in many applications. NSP mining, however, has been just caught attention and very limited methods are available to mine NSP. Furthermore, there is not a unified definition about negative containment, i.e., how a data sequence contains a negative sequence. So in this paper, we select three typical existing methods, PNSP, Neg-GSP and e-NSP, and compare their definitions, runtime and the number of NSPs. Examples and experiments on same dataset clearly show their differences.
  • Keywords
    data mining; NSP mining; Neg-GSP; PNSP; e-NSP; negative sequential pattern mining; nonoccurring items; positive sequential pattern; typical algorithm comparison; Silicon; negative containment; negative sequential pattern; positive sequential pattern;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Computer and Applications, 2014 IEEE Workshop on
  • Conference_Location
    Ottawa, ON
  • Type

    conf

  • DOI
    10.1109/IWECA.2014.6845638
  • Filename
    6845638