电子科技Issue(9)：16-18,22,4.DOI:10.16180/j.cnki.issn1007-7820.2015.09.004
基于关联规则的网络行为分析
Analysis of N etwork Behaviors Based on Association Rules
摘要
Abstract
The large number of web browsing records contains the implicit behaviors of users on the Internet , which however is difficult to find.Therefore, effective methods for extracting the information from the data , or the data mining applications are in urgent need. Among them, the association rules technology is one of the widely used.This paper adopts the Apriori algorithm to analyze the Web structure data mining for association rules, and the resulting rules reflect the page link between the relationships.Analysis of the results reveals the pattern of user ac-cess behaviors,providing an effective decision-making basis for the security and improvement of websites .关键词
Apriori算法/网络日志挖掘/关联规则/行为分析Key words
Apriori algorithm/web log mining/association rules/behavior analysis分类
信息技术与安全科学引用本文复制引用
刘宗成,张忠林,田苗凤..基于关联规则的网络行为分析[J].电子科技,2015,(9):16-18,22,4.基金项目
甘肃省科技支撑计划基金资助项目 （）
