An improved TANC method based on Bayesian equivalence theorem

doi:10.3923/itj.2013.4336.4339

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	An improved TANC method based on Bayesian equivalence theorem
	Zhao, Xiaoq-Iang; Yang, Jia-Min; Zhou, Jin-Hu
刊名	Information Technology Journal
	2013
卷号	12 期号:17 页码:4336-4339
关键词	Classifiers Bayes Classifier Classification accuracy Dependency relationship Equivalence theorem Generalization ability High-efficiency TANC Tree augmented Naive Bayes classifiers
ISSN号	18125638
DOI	10.3923/itj.2013.4336.4339
英文摘要	TANC (Tree Augmented Naive Bayes Classifier) is efficient extension of NBC (Naive Bayes Classifier). This method not only inherits the simple and high efficiency performances of NBC, but also enhances the generalization ability. However it ignores the correlation between weaken attributes. So, an improved TANC method is proposed in this study according the dependence degree and the correlation between attributes. This method can set up a correspond dependencies to effectively improve the classification accuracy by selecting the appropriate attributes. Compared with NBC and TANC, experimental results showed this method is better than TANC and NBC in performance. © 2013 Asian Network for Scientific Information.
语种	英语
出版者	Asian Network for Scientific Information, 308-Lasani Town, Sargodha Road, Faisalabad, Pakistan
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/113312]
专题	兰州理工大学
作者单位	College of Electrical Engineering an Information Engineering, Lanzhou University of Technology, Lanzhou, 730050, Gansu, China
推荐引用方式 GB/T 7714	Zhao, Xiaoq-Iang,Yang, Jia-Min,Zhou, Jin-Hu. An improved TANC method based on Bayesian equivalence theorem[J]. Information Technology Journal,2013,12(17):4336-4339.
APA	Zhao, Xiaoq-Iang,Yang, Jia-Min,&Zhou, Jin-Hu.(2013).An improved TANC method based on Bayesian equivalence theorem.Information Technology Journal,12(17),4336-4339.
MLA	Zhao, Xiaoq-Iang,et al."An improved TANC method based on Bayesian equivalence theorem".Information Technology Journal 12.17(2013):4336-4339.