• DocumentCode
    468151
  • Title

    Time Series Data Mining Method Based on Lightly-Supported Boolean Association Rules

  • Author

    Zhang, Zhonglin ; Chen, Zhi

  • Author_Institution
    Lanzhou Jiaotong Univ., Lanzhou
  • Volume
    1
  • fYear
    2007
  • fDate
    24-27 Aug. 2007
  • Firstpage
    438
  • Lastpage
    443
  • Abstract
    The mining of association rules mainly aims at the strong association rules, but lacks of efficient methods to mine the rules within the item sets that occur not much frequently. With the separation of the items by their time property, this paper discusses a new method of mining the lightly-supported Boolean association rules.
  • Keywords
    Boolean functions; data mining; time series; item sets; lightly-supported Boolean association rules; time series data mining; Association rules; Data engineering; Data mining; Electronic mail; Frequency; Pattern analysis; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2874-8
  • Type

    conf

  • DOI
    10.1109/FSKD.2007.589
  • Filename
    4405963
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=468151