• DocumentCode
    2678363
  • Title

    A vertical format algorithm for mining frequent item sets

  • Author

    Guo, Yi-Ming ; Wang, Zhi-Jun

  • Author_Institution
    Inst. of Grad., Liaoning Tech. Univ., Huludao, China
  • Volume
    4
  • fYear
    2010
  • fDate
    27-29 March 2010
  • Firstpage
    11
  • Lastpage
    13
  • Abstract
    Apriori is a classical algorithm for association rules. In order to get the support degree of candidate sets, Apriori needs to scan the database for many times. This paper presents a new algorithm, which mine frequent item sets with vertical format. The new algorithm only needs to scan database one time. And in the follow-up data mining process, it can get new frequent item sets through `and operation´ between item sets. The new algorithm needs less storage space, and can improve the efficiency of data mining.
  • Keywords
    data mining; association rules; data mining process; frequent item sets mining; vertical format algorithm; Association rules; Consumer electronics; Data mining; Educational institutions; Electronic mail; Pattern matching; Space technology; Statistics; Transaction databases; Apriori; data mining; vertical format;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Control (ICACC), 2010 2nd International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-5845-5
  • Type

    conf

  • DOI
    10.1109/ICACC.2010.5487072
  • Filename
    5487072