• DocumentCode
    3290837
  • Title

    The Application of Data Mining In the Decision of Supermarket Extension and Businesses Expansion Based on Evolutionary Computation

  • Author

    Xue, Ming ; Zhu, Changjun

  • Author_Institution
    Changchun Inst. of Technol., Changchun, China
  • fYear
    2009
  • fDate
    16-17 May 2009
  • Firstpage
    778
  • Lastpage
    780
  • Abstract
    In the view of the problem such as blindness, spontaneity, lag, in the decision of supermarket extension and businesses expansion, we proposed the data mining algorithms based on evolutionary computation in this paper. The algorithms is based on the traditional data mining technology, and combined with the advantages of evolutionary algorithms. Choosing the fitness function in evolutionary algorithms, then optimizing and filtrating the data from the database, combined with the fact of the supermarket decision, data extraction and visualization operations can be made to improve the efficiency of the data mining, in order to serve the decision-making, and bring greater benefits to the supermarket and the businesses.
  • Keywords
    data mining; data visualisation; decision support systems; evolutionary computation; retailing; businesses expansion decision; data extraction; data mining; data visualization; decision making; evolutionary computation; supermarket extension decision; Blindness; Circuits; Data mining; Data visualization; Decision making; Evolutionary computation; Macroeconomics; Monitoring; Technology management; Visual databases; businesses expansion; computation; data mining; evolutionary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits, Communications and Systems, 2009. PACCS '09. Pacific-Asia Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-0-7695-3614-9
  • Type

    conf

  • DOI
    10.1109/PACCS.2009.91
  • Filename
    5232441