Developing Anti-spam Filters Using Automatically Generated Rough Sets Rules
The huge amount of spam messages has limited the benefits introduced by e-mail communications. Therefore, spam filters are indispensable to fight against spam deliveries. However, the development of spam filters is very expensive whereas the usage of external filtering services can damage communications privacy. In such situation, we introduce an automatic procedure to integrate knowledge extracted by using rough-sets theory into spam filters to develop a low-cost filtering infrastructure.
KeywordsRegular Expression Indiscernibility Relation Filter Rule Target Message Spam Message
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