• DocumentCode
    2697537
  • Title

    Design and implementation of commerce data mining system based on rough set theory

  • Author

    Yang, Xiang ; Weiying, Wu ; Hairong, Mao ; Qingwei, Song

  • Author_Institution
    Tongji Univ., Shanghai
  • fYear
    2005
  • fDate
    12-18 Oct. 2005
  • Firstpage
    258
  • Lastpage
    265
  • Abstract
    On the basis of analyzing characters of commercial data and rough set, this paper proposes a data mining system using rough set, and presents detailed design and implementation. The novel commercial data mining system presented in this paper include three parts: data preparation, data preprocessing, mining and evaluation. During the design and implementation of three levels, this paper presents several novel algorithms using rough set. These algorithms can accelerate data mining process and improve quality of data mining. Finally, the paper tests the result of research and algorithm through an instance
  • Keywords
    data analysis; data mining; data preparation; electronic commerce; rough set theory; commerce data mining system; data evaluation; data preparation; data preprocessing; rough set theory; Acceleration; Algorithm design and analysis; Automatic testing; Business; Data mining; Data preprocessing; Data warehouses; Decision making; Educational institutions; Set theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    e-Business Engineering, 2005. ICEBE 2005. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7695-2430-3
  • Type

    conf

  • DOI
    10.1109/ICEBE.2005.50
  • Filename
    1552903