Email mining: tasks, common techniques, and tools

作者:Guanting Tang, Jian Pei, Wo-Shun Luk

摘要

Email is one of the most popular forms of communication nowadays, mainly due to its efficiency, low cost, and compatibility of diversified types of information. In order to facilitate better usage of emails and explore business potentials in emailing, various data mining techniques have been applied on email data. In this paper, we present a brief survey of the major research efforts on email mining. To emphasize the differences between email mining and general text mining, we organize our survey on five major email mining tasks, namely spam detection, email categorization, contact analysis, email network property analysis and email visualization. Those tasks are inherently incorporated into various usages of emails. We systematically review the commonly used techniques and also discuss the related software tools available.

论文关键词:Email, Data mining, Tools, Classification, Clustering, Social network analysis

论文评审过程:

论文官网地址:https://doi.org/10.1007/s10115-013-0658-2