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Apriori算法在DNS记录挖掘中的应用与研究
引用本文:杨康,张伟.Apriori算法在DNS记录挖掘中的应用与研究[J].信息网络安全,2012(2):60-64.
作者姓名:杨康  张伟
作者单位:南京邮电大学计算机学院,江苏南京210003
摘    要:DNS访问记录体现了网络用户的访问意图,通过Apriori关联规则挖掘算法处理这些记录,生成关联规则用以发现网络用户的访问行为模式,从而满足用户识别、用户分析等应用需求。该文详细分析了Apriori关联规则挖掘算法,针对其不足进行改进,应用于DNS访问记录挖掘中,对产生的关联规则进行了分析,得到相关用户的一些访问行为模式。

关 键 词:关联规则  Apriori算法改进  行为分析

Research on Apriori Algorithm Based on DNS Visit Records Mining
YANG Kang,ZHANG Wei.Research on Apriori Algorithm Based on DNS Visit Records Mining[J].Netinfo Security,2012(2):60-64.
Authors:YANG Kang  ZHANG Wei
Affiliation:(NUPT School of Computer Science,Nanjing Jiangsu 210003,china)
Abstract:DNS visit records reflects the network user's intention,through the Apriori algorithm processing these records,generating association rules to find the network user's behavior pattern,so as to meet the application of user identification,or user analysis.This paper analyzes the Apriori algorithm,aiming at it's weakness,and finds a method to improve efficiency.Mining the DNS visit records through the improved Apriori algorithm,as rules analyzed,some of the users' behavior patterns are obtained.
Keywords:association rules  improvement of Apriori  behavior analysis
本文献已被 CNKI 维普 等数据库收录!
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