Arabic Spam filtering using Bayesian Model
نویسندگان
چکیده
منابع مشابه
Arabic Spam Filtering using Bayesian Model
Many of us are concerned about an onslaught of SPAM email. Spam has become major problem for the email communications. The number of spam mails is increasing daily – studies show that over 45-50% of all current email communication is spam, it is an ever-increasing problem and will reach up to 70% in coming years. The volume of nonEnglish language spam is increasing day by day. The motivation fo...
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Millions of users per day are affected by unsolicited email campaigns. During the last years several techniques to detect spam have been developed, achieving specially good results using machine learning algorithms. In this work we provide a baseline for a new spam filtering method. Carrying out this research we validate our hypothesis that personality recognition techniques can help in Bayesia...
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Spam filtering poses a special problem in text categorization, of which the defining characteristic is that filters face an active adversary, which constantly attempts to evade filtering. Since spam evolves continuously and most practical applications are based on online user feedback, the task calls for fast, incremental and robust learning algorithms. This paper summarizes our experiments for...
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We investigate how one can use optimization methods to attune spam filters to the specific issues found in the spam filtering area. Among those issues is the need to modelize and manage spammers strategies to delude the filters. To adress this issue, we propose a selective learning scheme designed to maximize learning efficiency. In an offline context, this model uses a simple metaheuristic app...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2013
ISSN: 0975-8887
DOI: 10.5120/13752-1582