• DocumentCode
    3476829
  • Title

    The Application of Association Rules in Retail Marketing Mix

  • Author

    Liu, Hongwei ; Su, Bin ; Zhang, Bixi

  • Author_Institution
    Guangdong Univ. of Technol., Guangzhou
  • fYear
    2007
  • fDate
    18-21 Aug. 2007
  • Firstpage
    2514
  • Lastpage
    2517
  • Abstract
    With the development of information technology, retail companies have accumulated a huge amount of data which may be potentially valuable but currently untapped. In a changing competitive environment, the usage of data mining to tap the potential knowledge and its decision-supporting applications has a crucial implication for retailer in competitiveness raise which is consisted of rational marketing mix, cost reduction and customer loyalty improvement. The paper emphasized on conceptually introduction for practical applications of association rules in marketing stratagem. The efforts are dedicated to benefit rational marketing mix of retail enterprises.
  • Keywords
    data mining; decision support systems; retail data processing; association rules; data mining; decision support systems; marketing stratagem; retail enterprises; retail marketing mix; retailer competitiveness; Association rules; Costs; Data mining; Decision making; Economic forecasting; Frequency; Information technology; Itemsets; Memory; Transaction databases; Association Rules; Data mining; Marketing mix; Rational decision making;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2007 IEEE International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-1531-1
  • Type

    conf

  • DOI
    10.1109/ICAL.2007.4339002
  • Filename
    4339002