E-mail mining: Emerging techniques for e-mail management

Ioannis Katakis, Grigorios Tsoumakas, Ioannis Vlahavas

Research output: Chapter in Book/Report/Conference proceedingChapter

6 Citations (Scopus)

Abstract

E-mail 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 e-mail 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 that automate e-mail managing tasks and what advantages they hold over other conventional solutions. We will also discuss the particularity of e-mail data and what special treatment they require. Some interesting e-mail mining applications like mail categorization, summarization, automatic answering, and spam filtering will also be presented.

Original languageEnglish
Title of host publicationWeb Data Management Practices
Subtitle of host publicationEmerging Techniques and Technologies
PublisherIGI Global
Pages219-240
Number of pages22
ISBN (Print)9781599042282
DOIs
Publication statusPublished - 1 Dec 2006

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    Katakis, I., Tsoumakas, G., & Vlahavas, I. (2006). E-mail mining: Emerging techniques for e-mail management. In Web Data Management Practices: Emerging Techniques and Technologies (pp. 219-240). IGI Global. https://doi.org/10.4018/978-1-59904-228-2.ch010