• DocumentCode
    2634088
  • Title

    The Applied Research of Association Rules Mining in Automobile Industry

  • Author

    Lei, Zhang ; Zi-dong, Zhang ; Xiao-dong, Wang ; Bin, Sun

  • Author_Institution
    Coll. of Comput. & Inf. Technol., Henan Normal Univ., Xinxiang, China
  • Volume
    4
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    241
  • Lastpage
    245
  • Abstract
    With the advancement of their information technology, many enterprises have accumulated a large amount of business data. We hope to analyze these data on a higher level in order to use then better. The current database systems are unable to find the association rules in data, and cannot predict the developing trend and lack method mining information and knowledge hidden behind the data information. The paper mines the vehicle maintenance database with association rules, and implements fault analysis of vehicle accessories.
  • Keywords
    automobile industry; data mining; database management systems; fault diagnosis; association rules mining; automobile industry; fault analysis; information technology; vehicle accessories; vehicle maintenance database systems; Assembly; Association rules; Automobiles; Automotive engineering; Data mining; Information technology; Mining industry; Production; Transaction databases; Vehicles; Association rules; Data mining; FP-growth;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.327
  • Filename
    5170995