• DocumentCode
    2620830
  • Title

    Analysis of using granules to find association rules

  • Author

    Louie, Eric ; Tsau Young Em ; Hu, Xiaohua

  • Author_Institution
    IBM Almaden Res. Center, San Jose, CA, USA
  • Volume
    2
  • fYear
    2005
  • fDate
    25-27 July 2005
  • Firstpage
    556
  • Abstract
    The analysis and the discovery of information require the generalization or classification of the data to hypothesize on possible conclusions. Within this process, we formulate methodologies, e.g. computer algorithms, that digest the data and possibly produce results, i.e. patterns. In this paper, the author explained the concept of granular computing, where data are represented as granules and how granules are used in data mining. Among the data mining technique, granule computing is used to find association rules.
  • Keywords
    data mining; association rule; data mining; granular computing; information discovery; Association rules; Costs; Data analysis; Data mining; Educational institutions; Frequency; Humans; Information analysis; Information science; Relational databases; association rules; bitmap; costs; frequency; granule computing; performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing, 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-9017-2
  • Type

    conf

  • DOI
    10.1109/GRC.2005.1547353
  • Filename
    1547353