%0 Journal Article %T Fizz network structure mining based on na(i)ve bayes classification
基于朴素贝叶斯分类算法的活跃网络结构挖掘 %A XU Bing %A GUO Shao-zhong %A HUANG Yong-zhong %A
徐冰 %A 郭绍忠 %A 黄永忠 %J 计算机应用 %D 2007 %I %X In this paper, we studied the algorithm of E-mail classification using naIve Bayes classification. The concepts of Fizz Network and Fizz Degree were proposed. We presented the algorithm to depict the communication network of criminous orgnization, and the algorithm for structure mining. Finally, the experiments prove the good performance of the proposed algorithm. %K E-mail %K bayesian algorithm %K naIve hayes classification %K fizz network %K fizz degree
电子邮件 %K 贝叶斯算法 %K 朴素贝叶斯分类算法 %K 活跃网络 %K 活跃度 %K 朴素贝叶斯分类算法 %K 通讯网络 %K 结构挖掘 %K based %K structure %K mining %K network %K classification %K 有效性 %K 验证 %K 挖掘算法 %K 组织结构 %K 描述 %K 犯罪组织 %K 度的概念 %K 分类处理 %K 电子邮件 %K 利用 %K 研究 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD27430512C2ED4038793E1799&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=B31275AF3241DB2D&sid=C28CDC724DDFD536&eid=617DEAEB2884AFC7&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=5