• DocumentCode
    2247757
  • Title

    Using Data Mining to Accelerate Cross-Selling

  • Author

    Tang, Hewen ; Yang, Zengfang ; Zhang, Pingzhen ; Yan, Honglin

  • Author_Institution
    Sch. of Inf. Technol. & Eng., Yuxi Normal Univ., Yuxi
  • Volume
    1
  • fYear
    2008
  • fDate
    19-19 Dec. 2008
  • Firstpage
    283
  • Lastpage
    286
  • Abstract
    Data mining is often used to discover hidden knowledge of large datasets, which is widely used in bussiness. Cross-selling is very important in marketing and which is the practice of suggesting related products or services to a customer who is considering buying something. Data mining can accelerate cross-selling through finding the related products or services. In this paper, we mainly propose a method of data mining in Excel with an add-in of XLMiner to accelerate cross-selling. It does not need much speciality knowledge of data mining but only some parameter setting. Additionally, almost everyone can use Excel skilled. Therefore, the proposed method, which is based on Excel, can be mastered by general selling people easily. This paper also present an example through mining association rules.
  • Keywords
    data mining; XLMiner; cross-selling; data mining; mining association rules; Acceleration; Association rules; Data engineering; Data mining; Databases; Information management; Information technology; Knowledge engineering; Marketing and sales; Seminars; CRM; association rule; cross-selling; data mining; marketing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business and Information Management, 2008. ISBIM '08. International Seminar on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3560-9
  • Type

    conf

  • DOI
    10.1109/ISBIM.2008.186
  • Filename
    5117484