• DocumentCode
    3241774
  • Title

    Conditional Bayesian Network Mix Classifiers using on Performance -Appraising of Enterprise

  • Author

    Shuang-cheng Wang ; Ying-qi Li ; Qing Liu

  • Author_Institution
    Dept. of Inf. Sci., Shanghai Lixin Univ. of Commerce, Shanghai
  • fYear
    2008
  • fDate
    22-24 Oct. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    At present, some deficiencies exist in the methods using to appraising enterprise performance. And there are the problems of efficiency and reliability in learning conditional Bayesian network. In this paper, a conditional Bayesian network structure is established by using sorting nodes and local search & scoring. And a conditional Bayesian network is combined with a naive Bayes classifier to form a conditional Bayesian network mix classifier. The classifier is used in appraising enterprise performance to make evaluation more science.
  • Keywords
    Bayes methods; appraisal; corporate modelling; pattern classification; performance evaluation; reliability theory; conditional Bayesian network mix classifiers; enterprise performance-appraising; naive Bayes classifier; reliability; Appraisal; Bayesian methods; Business; Electronic mail; Information science; Sorting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2008. CCPR '08. Chinese Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2316-3
  • Type

    conf

  • DOI
    10.1109/CCPR.2008.20
  • Filename
    4662973