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
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;
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
DOI :
10.1109/WMSVM.2010.9
