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	Classification algorithm for naive bayes based on validity and correlation
	Dong, Huailin ; Zhu, Xiaodan ; Wu, Qingfeng ; Huang, Juanjuan ; Dong HL(董槐林)
	2013
关键词	Algorithms Classifiers Intelligent materials Optical correlation Sensors
英文摘要	Conference Name:2012 International Conference on Sensors, Measurement and Intelligent Materials, ICSMIM 2012. Conference Address: Guilin, China. Time:December 26, 2012 - December 27, 2012.; Naive Bayes classification algorithm based on validity (NBCABV) optimizes the training data by eliminating the noise samples of training data with validity to improve the effect of classification, while it ignores the associations of properties. In consideration of the associations of properties, an improved method that is classification algorithm for Naive Bayes based on validity and correlation (CANBBVC) is proposed to delete more noise samples with validity and correlation, thus resulting in better classification performance. Experimental results show this model has higher classification accuracy comparing the one based on validity solely. ? (2013) Trans Tech Publications, Switzerland.
语种	英语
出处	http://dx.doi.org/10.4028/www.scientific.net/AMM.303-306.1609
出版者	Trans Tech Publications
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/85747]
专题	软件学院－会议论文
推荐引用方式 GB/T 7714	Dong, Huailin,Zhu, Xiaodan,Wu, Qingfeng,et al. Classification algorithm for naive bayes based on validity and correlation. 2013-01-01.

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