• DocumentCode
    603165
  • Title

    FApriori: A modified Apriori algorithm based on checkpoint

  • Author

    Patel, M.R. ; Rana, D.P. ; Mehta, R.G.

  • Author_Institution
    Comput. Dept., SVNIT, Surat, India
  • fYear
    2013
  • fDate
    9-10 March 2013
  • Firstpage
    50
  • Lastpage
    53
  • Abstract
    Many Algorithms have been proposed to mine association rule that uses support and confidence as constraint. We are proposing a method that can be combined with Apriori algorithm and reduces storage required to store candidate and the execution time by reducing CPU time. CPU time is saved by reducing candidate sets size and time required to calculate the support of each candidate. We are introducing the concept of checkpoint based on support value to reduce the execution time and overall storage space required to store candidate generated during scanning of dataset.
  • Keywords
    checkpointing; data mining; Apriori algorithm; CPU time; FApriori; association rule mining; checkpoint concept; storage space; Algorithm design and analysis; Association rules; Computers; Itemsets; Association rule mining; CPU time; checkpoint;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Systems and Computer Networks (ISCON), 2013 International Conference on
  • Conference_Location
    Mathura
  • Print_ISBN
    978-1-4673-5987-0
  • Type

    conf

  • DOI
    10.1109/ICISCON.2013.6524172
  • Filename
    6524172