Improving spam filtering by combining Naive Bayes with simple k-nearest neighbor searches

Details Improving spam filtering by combining Naive Bayes with simple k-nearest neighbor searches Improving spam filtering by combining Naive Bayes with simple k-nearest neighbor searches

2003-11-30

arxiv.org/abs/cs/0312004v1

Computer Science

Learning

Scientific paper

Using naive Bayes for email classification has become very popular within the last few months. They are quite easy to implement and very efficient. In this paper we want to present empirical results of email classification using a combination of naive Bayes and k-nearest neighbor searches. Using this technique we show that the accuracy of a Bayes filter can be improved slightly for a high number of features and significantly for a small number of features.

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