• DocumentCode
    2644375
  • Title

    A genetic network programming based method to mine generalized association rules with ontology

  • Author

    Yang, Guangfei ; Shimada, Kaoru ; Mabu, Shingo ; Hirasawa, Kotaro ; Hu, Jinglu

  • Author_Institution
    Waseda Univ., Fukuoka
  • fYear
    2007
  • fDate
    17-20 Sept. 2007
  • Firstpage
    2715
  • Lastpage
    2722
  • Abstract
    In this paper, we propose a genetic network programming based method to mine generalized association rules with ontology. We first introduce ontology to facilitate building the multi concept layers and propose dynamic threshold approach (DTA) to equalize the different layers. We make use of an evolutionary computation method genetic network programming (GNP) to mine the rules. Two kinds of fitness functions each with four kinds of policies and a new genetic operator are developed to speed up searching the rule space.
  • Keywords
    data mining; genetic algorithms; ontologies (artificial intelligence); association rules; evolutionary computation; genetic network programming; ontology; Association rules; Clothing; Data mining; Dynamic programming; Evolutionary computation; Footwear; Genetic programming; Ontologies; Production systems; Taxonomy; Dynamic Threshold Approach; Generalized Association Rules; Genetic Network Programming; Ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE, 2007 Annual Conference
  • Conference_Location
    Takamatsu
  • Print_ISBN
    978-4-907764-27-2
  • Electronic_ISBN
    978-4-907764-27-2
  • Type

    conf

  • DOI
    10.1109/SICE.2007.4421450
  • Filename
    4421450
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2644375