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
Link To Document :
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