摘要
多数发现邮件重要用户的方法都借助邮件的内容信息作为语义来帮助理解,论文提出了一种基于结构的重要邮件用户发现方法。该方法借鉴网页中链接分析算法的思想计算邮件地址的重要度。在安然邮件语料库上验证了该方法,得到较好的实验结果。
A method of discovering important e-mail accounts based on structure is proposed in this paper,in spite of most existed methods using e-mail content as the semantic meaning to help understand.Referring to the idea of web link analysis algorithms PageRank and HITS,a method which evaluates the importance of e-mail address in e-mail graph is proposed,and also can evaluate the importance of e-mail account.The methods are verified on the Enron E-mail Dataset,and the experiment results are better than some existent methods.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第13期143-145,共3页
Computer Engineering and Applications
基金
国家重点基础研究发展规划(973)(the National Grand Fundamental Research 973 Program of China under Grant No.2004CB318109)
计算技术研究所知识创新科研课题(No.20056570)。