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A Chinese Web Page Automatic Classification System

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Web Information Systems and Mining (WISM 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6318))

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Abstract

In recent years, with the popularization of development of the network, people are getting closer and closer with the net and the number of web page is increasing rapidly. To help people to quickly locate user-interesting web page promptly in the flood of web information and improve the precision of search engine, a system of Simple Bayesian classifier for automatic classification of Chinese web page is proposed. Experimental results show that the system have high page detection rate and have ability to self-learning.

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Author information

Authors and Affiliations

  1. College of Computer Science and Technology, Zhejian University of Technology, Hangzhou, Zhejian, 310023, China

    Rongyou Huang

  2. College of Information Engineering, Zhejian University of Technology, Hangzhou, Zhejian, 310023, China

    Xinjian Zhao

Authors
  1. Rongyou Huang
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  2. Xinjian Zhao
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Editor information

Editors and Affiliations

  1. Department of Business Administration, Caritas Francis Hsu College, 18 Chui Ling Road, Tseung Kwan O, Hong Kong, China

    Fu Lee Wang

  2. Department of Computer and Inforamtion Science, University of Macau, Av. Padre Tomás Pereira, Taipa, Macau, SAR, China

    Zhiguo Gong

  3. School of Computer, Shanghai University, 99 Shangda Road, 200444, Shanghai, China

    Xiangfeng Luo

  4. School of Computer, Nanjing University of Posts and Telecommunications, 210003, Nanjing, China

    Jingsheng Lei

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© 2010 Springer-Verlag Berlin Heidelberg

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Huang, R., Zhao, X. (2010). A Chinese Web Page Automatic Classification System. In: Wang, F.L., Gong, Z., Luo, X., Lei, J. (eds) Web Information Systems and Mining. WISM 2010. Lecture Notes in Computer Science, vol 6318. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16515-3_9

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  • DOI: https://doi.org/10.1007/978-3-642-16515-3_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16514-6

  • Online ISBN: 978-3-642-16515-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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