• DocumentCode
    234296
  • Title

    Algorithms and systems for data mining: A survey

  • Author

    Eddib, Adil Jad Allah ; Mohammed, El Mohajir ; Chahhou, Mohamed

  • Author_Institution
    Fac. of Sci., USMBA, Fez, Morocco
  • fYear
    2014
  • fDate
    20-22 Oct. 2014
  • Firstpage
    107
  • Lastpage
    114
  • Abstract
    There are many algorithms and systems for mining data that are being constantly developed and improved by research communities and industrial organizations worldwide, but choosing the most adequate and with the most optimal results for the problem at hand remains a main concern and a critical decision to make. This paper inspects the most used algorithms and systems for data mining in order to point out their similarities and differences, their advantages and drawbacks, and define for each algorithm or system the situations it is best suited for.
  • Keywords
    data mining; data mining algorithm; data mining system; Algorithm design and analysis; Association rules; Classification algorithms; Clustering algorithms; Itemsets; algorithms; data mining; data mining software; survey;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (CIST), 2014 Third IEEE International Colloquium in
  • Conference_Location
    Tetouan
  • Print_ISBN
    978-1-4799-5978-5
  • Type

    conf

  • DOI
    10.1109/CIST.2014.7016603
  • Filename
    7016603