DocumentCode
1828151
Title
Study on an Improved Naive Bayesian Classifier Used in the Chinese Text Categorization
Author
Zuo, Min ; Zeng, Guangping ; Tu, Xuyan
Author_Institution
Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear
2010
fDate
15-16 May 2010
Firstpage
135
Lastpage
138
Abstract
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.
Keywords
data mining; genetic algorithms; natural language processing; text analysis; Chinese text categorization; data mining; genetic algorithm; naive Bayesian classifier; Accuracy; Bayesian methods; Biological cells; Classification algorithms; Encoding; Text categorization; Training; Genetic Algorithms; Naive Bayesian Classifier; Text Categorization;
fLanguage
English
Publisher
ieee
Conference_Titel
Modeling, Simulation and Visualization Methods (WMSVM), 2010 Second International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4244-7077-8
Electronic_ISBN
978-1-4244-7078-5
Type
conf
DOI
10.1109/WMSVM.2010.9
Filename
5558293
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