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Study on an Improved Naive Bayesian Classifier Used in the Chinese Text Categorization

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3 Author(s)
Min Zuo ; Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China ; Guangping Zeng ; Xuyan Tu

Text Categorization is an important research branch in the data mining domain. In this paper, an improved Naive Bayesian Classifier which is based on the Genetic Algorithms is proposed. It can make an effective Naive Bayesian classifier with excellent attributes Set in the field of text categorization. The experiments show that this method has a good classification performance.

Published in:

Modeling, Simulation and Visualization Methods (WMSVM), 2010 Second International Conference on

Date of Conference:

15-16 May 2010