• DocumentCode
    402848
  • Title

    Generation of frequent fuzzy states evolution rules

  • Author

    Zhang, Bao-wen ; Chen, Hao-peng

  • Author_Institution
    Dept. of Comput. Sci., Shanghai Jiao Tong Univ., China
  • Volume
    1
  • fYear
    2003
  • fDate
    2-5 Nov. 2003
  • Firstpage
    1
  • Abstract
    Temporal data mining is one of the important branches of data mining. A new frame of temporal data mining named fuzzy states evolution patterns discovery has been proposed in the former research. In this paper, generation of rules from discovered patterns was examined and a pruning algorithm was put forward.
  • Keywords
    data mining; fuzzy set theory; time series; discovered patterns; frequent fuzzy states evolution rules; pruning algorithm; temporal data mining; time series; Computer science; Cybernetics; Data mining; Electronic mail; Fuzzy sets; Joining processes; Laser sintering; Machine learning; State-space methods; Time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2003 International Conference on
  • Print_ISBN
    0-7803-8131-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2003.1264430
  • Filename
    1264430
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=402848