• DocumentCode
    1639256
  • Title

    Techniques for evolutionary rule discovery in data mining

  • Author

    Cattral, Robert ; Oppacher, Franz ; Graham, K. J Lee

  • Author_Institution
    Carleton Univ., Ottawa, ON
  • fYear
    2009
  • Firstpage
    1737
  • Lastpage
    1744
  • Abstract
    EvRFind is an application used for the task of rule discovery in data mining. This paper describes various techniques used by EvRFind to enhance an evolutionary search for the purpose of rule discovery. Although some of the techniques are non-evolutionary by design, these still rely on evolution to guide the process. Results of experiments are compared to those found in other published work.
  • Keywords
    data mining; evolutionary computation; EvRFind; data mining; evolutionary rule discovery; evolutionary search; Algorithm design and analysis; Data mining; Databases; Decoding; Genetic algorithms; Logic; Machine learning; Machine learning algorithms; Predictive models; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2009. CEC '09. IEEE Congress on
  • Conference_Location
    Trondheim
  • Print_ISBN
    978-1-4244-2958-5
  • Electronic_ISBN
    978-1-4244-2959-2
  • Type

    conf

  • DOI
    10.1109/CEC.2009.4983151
  • Filename
    4983151