All over the world, Internet is a dominant communication tool. Internet not only provides different ways of communication, but also increases the misuse of strong communication tool for advertisement and other personal beneficial activities. Progress of unwanted emails has encouraged the development of numerous spam filtering techniques. Since spammers are devising fresh techniques every time, anti-spamming techniques fails to filter out spam emails. E-mail spam is a difficult for the sustainability of the internet and global business. Millions of e-mails sent by spammers for advertisement of products and services. This paper describes an experimental analysis of spam e-mail classification along with proposed framework for feature selection and spam classification. The experimental result signifies performance of algorithm for standard dataset Enron. Origin based information selected for classification.

Spam, Spam Filter, Spam Detection

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