• DocumentCode
    518199
  • Title

    Application of covering in rules mining of dynamic information system

  • Author

    Liu, Shuang ; Wang, Jiyi ; Xiong, Shanghua

  • Author_Institution
    Inst. of Artificial Intell. & Parallel Comput., Zhejiang Normal Univ., Jinhua, China
  • Volume
    3
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Abstract
    Rough set theory as a mathematic method can be used to mine the latent rules of dynamic information system. Generally, the results of rules mining using this method are not satisfying due to inconsistence of information system and uncertainty and difference in the process of construction of dynamic information system. An approach to eliminate the cause of inconsistence of rules mining in difference information system is presented under the background of covering theory. Experiment shows that relationship between the changes of condition attributes values and trend of decision-making can be fully reflected as much as possible through this pre-process approach by a modified rules mining algorithm.
  • Keywords
    data mining; information systems; rough set theory; covering theory; decision making; dynamic information system; latent rules; rough set theory; rules mining; Artificial intelligence; Decision making; Fuzzy sets; Fuzzy systems; Information systems; Layout; Mathematics; Parallel processing; Set theory; Uncertainty; covering; difference information system; dynamic information system; inconsistence; rules mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-6347-3
  • Type

    conf

  • DOI
    10.1109/ICCET.2010.5485837
  • Filename
    5485837