• DocumentCode
    584459
  • Title

    A Developed Association Rule Model Applied in Electric Energy Customer Service Analysis

  • Author

    Chen, Haoxin ; Chen, Yuheng ; Yin, Jian

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Sun Yat-Sen Univ., Guangzhou, China
  • fYear
    2012
  • fDate
    11-13 Aug. 2012
  • Firstpage
    1435
  • Lastpage
    1438
  • Abstract
    With the further market reform of electric power industry, customer-oriented marketing concept has been more and more important in electric power enterprises. After doing research on customer service data of an electric power enterprise, we pick up some key factors which might be related to customer satisfaction, and utilize a developed association rule model to mine association rules between these key factors and customer satisfaction, which reflects the close relationship between them. Furthermore, we design metrics that can reflect the changing trend of rule confidence, which helps business officers have an insight into how these factors influence customer satisfaction as time goes on, to effectively improve customer service quality and then win praise of customers. As practical experiments prove, this method can fulfill the goal very well.
  • Keywords
    customer satisfaction; data mining; electricity supply industry; power engineering computing; power markets; power system economics; association rule model; business officers; customer satisfaction; customer service data; customer service quality; customer-oriented marketing concept; electric energy customer service analysis; electric power enterprises; electric power industry; market reform; Association rules; Customer satisfaction; Customer services; Itemsets; Market research; Measurement; Power systems; association rule; changing trend; customer satisfaction; data mining; electric power enterprises;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Service System (CSSS), 2012 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0721-5
  • Type

    conf

  • DOI
    10.1109/CSSS.2012.361
  • Filename
    6394599