Research of Web Pages Categorization
Research of Web Pages Categorization
摘要
In this paper, we discuss several issues related to automated classification of web pages, especially text classification of web pages. We analyze features selection and categorization algorithms of web pages and give some suggestions for web pages categorization.
In this paper, we discuss several issues related to automated classification of web pages, especially text classification of web pages. We analyze features selection and categorization algorithms of web pages and give some suggestions for web pages categorization.
出处
《南昌工程学院学报》
CAS
2006年第2期107-111,共5页
Journal of Nanchang Institute of Technology
基金
赣教技字[2006]230号
参考文献14
-
1Daniele Riboni. Feature Selection for Web Page Classification, in EURASIA-ICT 2002 Proceedings of the Workshop.
-
2Slattery S. Hypertext Classification [D ]. Pittsburgh: Carnegie Mellon Univ, 2001.
-
3Yang Y, Slattery S, Ghani R. A Study of Approaches to Hypertext Categorization [J].J Intelligent Info Syst, 2002, 18 (2/3) : 219-241.
-
4Aas K, Eikvil A. Text Categorization: A Survey[R]. Norwegian Computing Center, http://citeseer.nj.nec.com/aas 99text .html, 1999.
-
5Mladeni' c D, Brank J, Grobelnik M, et al. Feature Selection Using Linear Classifier Weights: Interaction with Classification Models [J]. In The 27nd Ann Int ACM SIGIR Conference on Research and Development in Information Retrieval, 2004, 234-241.
-
6Salton G, Buckley C. Term Weighting Approaches in Automatic Text Retrieval [J]. Information Processing and Management, 1988, 24(5): 513-523.
-
7Yang Y, Pedersen J O. A Comparative Study on Feature Selection in Text Categorization [ J ]. The Fourteenth International Conference on Machine Learning, Morgan Kaufmann, 1997, 412-420.
-
8S.Deerwester, S.T. Dumais, G.W. Furnas, T. K. Landauer, R. Harshman. Indexing by Latent Semantic Analisys. Journal of the American Society of Information Science, 1990, pp. 391-407.
-
9Craven M, Slattery S. Relational Learning with Statistical Predicate Invention: Better Models for Hypertext [J]. Machine Learning, 2001, 43 (1/2): 97-119.
-
10Cortes C, Vapnik V. Support Vector Networks [J]. Machine Learning, 1995, 20 (3): 273-297.