• DocumentCode
    2652242
  • Title

    The Research of Data Pretreatment in CRM Based on Rough Set

  • Author

    Liu, Yunfeng ; Ke, Lin ; Yuan, Yongke

  • Author_Institution
    Coll. of Econ. & Manage., Beijing Univ. of Technol., Beijing
  • fYear
    2009
  • fDate
    22-24 Jan. 2009
  • Firstpage
    92
  • Lastpage
    97
  • Abstract
    The data pretreatment to reduce the redundancy of data and eliminate the data imprecise is the bottleneck in data mining. This article uses the superiority of the rough set model to eliminate the data imprecise, reduce the redundancy as far as possible in the data pretreatment and reduces the data capacity by the deduction of the attributes and deduction of values. It has also laid the foundation for the following data mining algorithm to reduce the time of process. By the example proof, it is one better algorithm according to incomplete and redundancy data processing.
  • Keywords
    customer relationship management; data mining; rough set theory; customer relationship management; data mining algorithm; data pretreatment; data processing redundancy; rough set; Conference management; Customer relationship management; Data mining; Data processing; Data warehouses; Educational institutions; Information analysis; Risk analysis; Statistical analysis; Technology management; Attribute deduct; CRM; Data mining; Pretreatment; Rough set; Value deduct;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Control, 2009. ICACC '09. International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-3330-8
  • Type

    conf

  • DOI
    10.1109/ICACC.2009.115
  • Filename
    4777315