INCORPORTING KEYWORD-BASED FILTERING TO DOCUMENT CLASSIFICATION FOR EMAIL SPAMMING

摘要

Email spamming causes serious problems in the Internet resulting in a huge waste of resources and attracting high attention from research society.Automatic document classification and keyword-based filtering are two kinds of techniques which have been applied to filter spam emails to achieve satisfactory results.This paper proposes a formal method by incorporating keyword-based filtering to document classification.To consider the potentially high cost of misclassification of an email to a spam email in real-word situation, a cost-sensitive evaluation metric is adopted to evaluate our approaches.We conducted extensive experiments in real-word data showing promising results.