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Email spam filtering is considered as an online supervised learning task for binary text classification (TC). Normally, the previous statistical TC algorithms treat an email as a single plain-text document, ignoring the multi-field feature of email documents. This paper investigates the multi-field feature, and proposes a multi-field learning (MFL) approach for email spam filtering. The MFL approach...
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