• DocumentCode
    3037896
  • Title

    Some Observations of Sequential, Parallel and Distributed Association Rule Mining Algorithms

  • Author

    Garg, Rakhi ; Mishra, P.K.

  • Author_Institution
    Dept. Of Comput. Sci., Banaras Hindu Univ., Varanasi
  • fYear
    2009
  • fDate
    8-10 March 2009
  • Firstpage
    336
  • Lastpage
    342
  • Abstract
    This paper mainly focuses on the need, merits, demerits and designing of different sequential, parallel and distributed ARM algorithms developed so far on different hardware platforms and categorising them according to database format used, search techniques used and whether they find all or maximal frequent item sets. The goal of this survey is to provide information that serve as a reference for both the researchers and practitioners interested in the designing and implementation of ARM algorithms that has high performance in terms of response time and the ability to scale massive data sets with minimum communication overheads, privacy and security, which is the requirement of todaypsilas world.
  • Keywords
    data mining; distributed algorithms; communication overheads; database format; distributed association rule mining; parallel association rule mining algorithms; search techniques; Algorithm design and analysis; Association rules; Concurrent computing; Data mining; Delay; Distributed computing; Distributed databases; Itemsets; Portable computers; Scalability; association rule mining; distributed data mining; parallel data mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Automation Engineering, 2009. ICCAE '09. International Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    978-0-7695-3569-2
  • Type

    conf

  • DOI
    10.1109/ICCAE.2009.28
  • Filename
    4804544