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The annoyance of spam emails increasingly plagues both individuals and organizations. In response, most of prior research investigates spam filtering as a classical text categorization task, in which training examples must include both spam (positive examples) and legitimate (negative examples) emails. However, in many spam filtering scenarios, obtaining legitimate emails for training purpose can...