A Weighted Naive Bayes Algorithm Based on the Attribute Order Reduction

Xi Zhou; Ke Luo

doi:10.4028/www.scientific.net/AMR.718-720.2108

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 718-720A Weighted Naive Bayes Algorithm Based on the...

A Weighted Naive Bayes Algorithm Based on the Attribute Order Reduction

Abstract:

Naïve Bayes classifier was generally considered as a simple and efficient classification method. However, its classification performance was affected to some extent because of the assuming that the conditions properties were independent of each other. By analyzing the classification principle and improvement of Bayesian and the Attribute Reduction of Rough Set, this paper proposed a Naïve Bayes algorithm that the attribute order reduction and weighting were improved simultaneously. Experiment results demonstrated that the proposed method performed well in classification accuracy.

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Periodical:

Advanced Materials Research (Volumes 718-720)

Pages:

2108-2112

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.718-720.2108

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Online since:

July 2013

Authors:

Xi Zhou, Ke Luo

Keywords:

Attribute Order, Attribute Reduction, Attribute Weight

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