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This paper proposes an interactive spam filtering method that utilizes active learning and feature selection. Identifying effective features are very important in spam filtering because spam mails include so many meaningless words that are slightly different from each other. Thus identifying effective and ineffective features is promising approach.Although traditional feature selection methods have...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.