A Suffix Tree Approach to Email Filtering

Details A Suffix Tree Approach to Email Filtering A Suffix Tree Approach to Email Filtering

2005-03-14

arxiv.org/abs/cs/0503030v2

Computer Science

Artificial Intelligence

Revisions made in the light of reviewer comments. Main changes: (i) The extension and elaboration of section 4.4 which describ

Scientific paper

We present an approach to email filtering based on the suffix tree data structure. A method for the scoring of emails using the suffix tree is developed and a number of scoring and score normalisation functions are tested. Our results show that the character level representation of emails and classes facilitated by the suffix tree can significantly improve classification accuracy when compared with the currently popular methods, such as naive Bayes. We believe the method can be extended to the classification of documents in other domains.

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