Research of a Spam Filtering Algorithm Based on Naïve Bayes and AIS

Qin Luo; Bing Liu; Junhua Yan; Zhongyue He

doi:10.1109/ICCIS.2010.43

2010 International Conference on Computational and Information Sciences

Research of a Spam Filtering Algorithm Based on Naïve Bayes and AIS

Year: 2010, Pages: 152-155

DOI Bookmark: 10.1109/ICCIS.2010.43

Authors

Qin Luo
Bing Liu
Junhua Yan
Zhongyue He

Abstract

The Naïve Bayesian classifier has been suggested as an effective method to construct anti-spam filters for its strong categorization and high precision. Artificial immune system has become a new embranchment in computing intelligence for its good self-learning, self-adaptability and robustness. This paper proposes a new spam filtering means based on Naïve Bayes and AIS, and analyses the key problems of the algorithm. The accuracy rate is compared with a naïve Bayesian classifier-Bogofilter and it is shown that the proposed algorithm performs as well as Naïve Bayes and has a great potential for augmentation.

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Research of a Spam Filtering Algorithm Based on Naïve Bayes and AIS

Authors

Abstract

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