Improved Nave Bayesian spam filtering algorithm
Chunli Wang · Computer Engineering and Applications Journal · 2009
The paper describes the Nave Bayesian spam filtering algorithms.In terms of probability calculation of Nave Bayes algorithm,the paper selects calculation of multi-variable model of Bernoulli event,and makes improvements to multi-variable model of Bernoulli event,and carries out an experimental on the Ling-Spam corpus.The results show that the improved algorithm can effectively enhance the recall and accuracy of the filter and lower the error rate of the filter.