• DocumentCode
    3156834
  • Title

    Knowledge Acquisition in Incomplete E-Commerce Information Systems

  • Author

    Zhai, Kun ; Lian, Zhengguo

  • Author_Institution
    Qingdao Agric. Univ., Qingdao, China
  • Volume
    2
  • fYear
    2010
  • fDate
    12-14 Nov. 2010
  • Firstpage
    147
  • Lastpage
    149
  • Abstract
    Due to rampant existence of missing values in E-commerce information systems, the research on knowledge acquisition in incomplete E-commerce information systems becomes necessary. In this paper, a novel method of rough reduction is proposed to obtain the latent knowledge in incomplete E-commerce information systems. By constructing the discernibility matrix, the useful knowledge can finally be extracted from incomplete E-commerce information systems.
  • Keywords
    electronic commerce; information systems; knowledge acquisition; matrix algebra; rough set theory; discernibility matrix; incomplete E-commerce information system; knowledge acquisition; rough reduction; Business; Cities and towns; Data mining; Information systems; Process control; Rough sets; incomplete information system; knowledge reduction; rough sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2010 International Conference on
  • Conference_Location
    Yichang
  • Print_ISBN
    978-1-4244-8664-9
  • Type

    conf

  • DOI
    10.1109/ICSEM.2010.127
  • Filename
    5640255