• DocumentCode
    3356631
  • Title

    Research on Data Mining Model Based on Rough Sets

  • Author

    Li, Longshu ; Yang, Weimin ; Li, Xuejun ; Xu, Yi

  • Author_Institution
    Key Lab IC&SP, Anhui Univ., Hefei
  • fYear
    2006
  • fDate
    3-5 Aug. 2006
  • Firstpage
    851
  • Lastpage
    855
  • Abstract
    The aim of this work is to show how data mining technology based on rough set can be used for efficient implementation. In this paper, we discuss rough set theory in detail. In order to discover new rules from databases based on rough set, an object-oriented software architecture being propitious to data mining is given. And the algorithms for data reduction, rule discovery and rule reduction are introduced. From information table defined by primitive database, discernibility matrix, reduction table and rule table are created. In the last, an example is given. This shows that our model and algorithms are feasible
  • Keywords
    data mining; data reduction; knowledge representation; matrix algebra; object-oriented databases; rough set theory; software architecture; data mining; data reduction; databases; discernibility matrix; knowledge representation; object-oriented software architecture; rough set theory; rule discovery; rule reduction; Data mining; Educational technology; Knowledge representation; Object oriented databases; Object oriented modeling; Pervasive computing; Rough sets; Set theory; Software architecture; Uncertainty; Algorithms; Data Mining; Knowledge Representation; Rough Set; Software Architecture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Applications, 2006 1st International Symposium on
  • Conference_Location
    Urumqi
  • Print_ISBN
    1-4244-0326-x
  • Electronic_ISBN
    1-4244-0326-x
  • Type

    conf

  • DOI
    10.1109/SPCA.2006.297545
  • Filename
    4079116