• DocumentCode
    2914791
  • Title

    New coding method to reduce the database size and algorithm with significant efficiency in association rules

  • Author

    He, Huimin ; Du, Haiyan ; Liu, Yongjin ; Li, Fangping ; Xie, Yi

  • Author_Institution
    Dept. of Comput. Sci., Handan Coll., Handan
  • fYear
    2008
  • fDate
    1-6 June 2008
  • Firstpage
    2323
  • Lastpage
    2326
  • Abstract
    The problem of discovery association rules in large databases is considered. An encoding method for converting large databases to small one is proposed. Significant efficiency is obtained by applying some modified known algorithm on our proposed database layout. In addition, a new algorithm based on the proposed encoding method is introduced. Using some properties of numbers our database converts itemset to numerical domain. Our implementation indicates that the proposed layout made the size of database significantly smaller. Also the time to find association rules is reduced.
  • Keywords
    data mining; database management systems; coding method; database size reduction; discovery association rules; large databases; Association rules; Computer networks; Computer science; Data mining; Encoding; Helium; Itemsets; Marketing and sales; Sampling methods; Transaction databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-1822-0
  • Electronic_ISBN
    978-1-4244-1823-7
  • Type

    conf

  • DOI
    10.1109/CEC.2008.4631107
  • Filename
    4631107