E-mail Mining: Emerging Techniques for E-Mail Management

E-mail Mining: Emerging Techniques for E-Mail Management

Ioannis Katakis (Aristotle University of Thessaloniki, Greece), Grigorios Tsoumakas (Aristotle University of Thessaloniki, Greece) and Ioannis Vlahavas (Aristotle University of Thessaloniki, Greece)
DOI: 10.4018/978-1-59904-228-2.ch010
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Abstract

Email has met tremendous popularity over the past few years. People are sending and receiving many messages per day, communicating with partners and friends, or exchanging files and information. Unfortunately, the phenomenon of email overload has grown over the past years becoming a personal headache for users and a financial issue for companies. In this chapter, we will discuss how disciplines like Machine Learning and Data Mining can contribute to the solution of the problem by constructing intelligent techniques which automate email managing tasks and what advantages they hold over other conventional solutions. We will also discuss the particularity of email data and what special treatment it requires. Some interesting email mining applications like mail categorization, summarization, automatic answering and spam filtering will be also presented.

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