A Novel Anti-spam Email Approach Based on LVQ

Author:

Chuan Zhan,Xianliang Lu,Qian Xing

Publisher

Springer Berlin Heidelberg

Reference7 articles.

1. Sahami, M., Dumais, S., et al.: A Bayesian Approach to Filtering Junk E-Mail. In: Learing for Text Categorization –Papers from the AAAI Workshop, Madison Wisconsin (1998)

2. Clark, J., Koprinska, I., Poon, J.: A neural network based approach to automated e-mail classification. In: Proceedings of the IEEE/WIC international conference on web intelligence

3. Duhong chen, Tongjie et al. Spam Email Filter Using Naive Bayesian, Decision Tree, Neural Network and AdaBoost, http://www.cs.iastate.edu/~tongjie/spamfilter/paper.pdf

4. Salton, G.: Introduction to modern information retrieval. McGraw-Hill Book company, New York (1983)

5. Church, K.W., Hanks, T.: Workd association norms, mutual information and lexicography. In: Proceedings of ACL27, Wancouver, Canada (1989)

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1. Fuzzy Observable Markov Models for Pattern Recognition;Journal of Advanced Computational Intelligence and Intelligent Informatics;2007-07-20

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