E-mail Classification using Fuzzy Fusion of Average and Probabilistic Methods
نویسنده
چکیده
In spite of the fact, a number of researchers everywhere throughout the globe are busy in broad research with the aim to overcome the problem of spam; although an effective solution is yet to be discovered. Due to the fact that spam filtering is perplexing issue, it is unrealistic to spam messages with one arrangement. As the spam emails structure is not constant, hence we require a solution which can be adapt as per the spam structure. In this work, spam filtering methods based on genetic algorithm is highlighted, two methods based on probabilistic and average based is detailed and the results are compared in terms of recognition rate.
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