• DocumentCode
    2919134
  • Title

    The Explore of Some Cases with the Data Mining Techniques

  • Author

    Gu, Shen-Ming ; Zheng, Yun ; Guan, Lin-Ting ; Zhuang, Yue-ting

  • Author_Institution
    Sch. of Math., Zhejiang Ocean Univ., Zhoushan
  • fYear
    2009
  • fDate
    20-22 Feb. 2009
  • Firstpage
    59
  • Lastpage
    63
  • Abstract
    With the development of the computer technology a larger of data is generated and stored and many companies become dasiadata rich and information poorpsila. This paper describes how BT has used data mining techniques to convert volume data into high-value information which can be used to aid decision making in a number of key business processes. The benefit of actively using data, as opposed to passively storing it, is demonstrated via a number of case studies which cover areas as diverse as fault diagnosis, fraud detection, market segmentation, credit vetting and litigation assessment.
  • Keywords
    business data processing; data mining; information management; business processes; credit vetting; data mining; data rich; decision making; fault diagnosis; fraud detection; high-value information; information poor; litigation assessment; market segmentation; volume data; Computer crime; Data analysis; Data mining; Databases; Decision making; Fault detection; Fault diagnosis; Marine technology; Marketing and sales; Pattern analysis; credit vetting; data mining; fault diagnosis; fraud detection; litigation assessment; market segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Computer Technology, 2009 International Conference on
  • Conference_Location
    Macau
  • Print_ISBN
    978-0-7695-3559-3
  • Type

    conf

  • DOI
    10.1109/ICECT.2009.47
  • Filename
    4795920