• DocumentCode
    3597527
  • Title

    Lp - Association Rules mining based on rough concept lattice

  • Author

    Liu, Bao-Xiang ; Xie, Yu-jing ; Xu, Jun ; Zhang, Zhong-peng

  • Author_Institution
    Coll. of Sci., Hebei Polytech. Univ., Thangshan, China
  • Volume
    1
  • fYear
    2009
  • Firstpage
    145
  • Lastpage
    148
  • Abstract
    Rough concept lattice (RCL) is a new concept lattice, which can deal with uncertainty knowledge. It is an effective tool for data analysis and knowledge discovery. But some objects that in upper approximation extent of RCL are so uncertainty that makes the accuracy of association rules reduced. In this case, based on decision context, we construct a L- plumpness concept lattice (Lp - RCL), in whose upper approximation extent objects at least satisfy L attributes in order to improve the efficiency of extraction rules. And we get the algorithm for Lp - association rules.
  • Keywords
    data analysis; data mining; rough set theory; L- plumpness concept lattice; Lp-association rules mining; data analysis; knowledge discovery; rough concept lattice; uncertainty knowledge; upper approximation extent; Association rules; Cybernetics; Data analysis; Data mining; Educational institutions; Electronic mail; Lattices; Machine learning; Set theory; Uncertainty; Association rules; Lp - set; Rough concept lattice;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212515
  • Filename
    5212515