- Includes index. - The history of spam -- Historical approaches to fighting spam -- Language classification concepts -- Statistical filtering fundamentals -- Decoding : uncombobulating messages -- Tokenization : the building blocks of spam -- The low-down dirty tricks of spammers -- Data storage for a zillion records -- Scaling in large environments -- Testing theory -- Concept identification : advanced tokenization -- Fifth-order markovian discrimination -- Intelligent feature set reduction -- Collaborative algorithms.
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