(中国科学院计算技术研究所, 北京100080) 摘要: 垃圾邮件问题日益严重, 受到研究人员的广泛
关注. 基于内容的过滤是当前解决垃圾邮件问题的主流技术之一. 目前基于内容的垃圾邮件过滤 …

This paper evaluates five supervised learning methods in the context of statistical spam
filtering. We study the impact of different feature pruning methods and feature set sizes on …

Supervised machine learning methods for classifying spam emails are long-established.
Most of these methods use either header-based or content-based features. Spammers …

Network security analysis must coordinate diverse sources of information to support effective
security models. The modeling, process must capture security-relevant information about …

In our earlier work on three Asian Englishes and British English, we showed how lexico-
syntactic co-occurrence preferences for three argument structure constructions revealed …

How genres emerge and evolve on the Internet has become one of the central questions in
studies of computer-mediated communication (CMC). This book addresses the issue of …

This work is devoted to the problem of optimising scores for anti-spam filters, which is
essential for the accuracy of any filter based anti-spam system, and is also one of the biggest …

Email spam is one of the biggest threats to today's Internet. To deal with this threat, there are
long-established measures like supervised anti-spam filters. In this paper, we report the …

This study applies a computer-mediated discourse analysis (CMDA) to the study of
discourse structures and functions of '419'emails—the Nigerian term for online/financial …

Tragedy of Commons Theory introduced by Hardin (1968) revealed how shared and limited
resources get completely depleted as effect of human behaviour. By analogy, common …