• DocumentCode
    2674526
  • Title

    The Algorithm of Obtaining Best Rules Based on Rough Set

  • Author

    Chen, Shulin ; Wang, Lei

  • Author_Institution
    Coll. of Econ. & Manage., NanJing Forestry Univ., Nanjing
  • fYear
    2008
  • fDate
    3-5 Aug. 2008
  • Firstpage
    7
  • Lastpage
    10
  • Abstract
    With the fast development of the technology in Database and Internet, excessive information has become a problem that decision makers engage in electronic commerce have to affront. This paper firstly establishes the decision table for excessive data, then reduces knowledge of the decision table, and obtains the best rules. This can reduce the redundancy of the data, and improve the efficiency of knowledge obtaining. Because of the high time complexity and spatial complexity the general algorithm has, this paper proposed a new algorithm based on analogical matrix, and carried out the algorithm. The practice proves that the algorithm can improve the efficiency of knowledge obtaining, and the rules is tidy and best.
  • Keywords
    electronic commerce; rough set theory; analogical matrix; best rules; decision table; electronic commerce; excessive data; rough set; Data security; Databases; Educational institutions; Electronic commerce; Forestry; Information security; Information systems; Internet; Market opportunities; Technology management; Analogical Matrix; Attribute Reduction; Attribute Value Reduction; Electronic Commerce; Knowledge Reduction; Rough Set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Commerce and Security, 2008 International Symposium on
  • Conference_Location
    Guangzhou City
  • Print_ISBN
    978-0-7695-3258-5
  • Type

    conf

  • DOI
    10.1109/ISECS.2008.14
  • Filename
    4606014