Cookie技术在Web日志挖掘预处理中的应用  

Application of Cookie in the preprocessing of Web log mining

作　　者：周增国[1] 庞有军[1] 

机构地区：[1]大连大学校园网建设办公室,辽宁大连116622

出　　处：《大连大学学报》2006年第2期59-62,共4页Journal of Dalian University

摘　　要：W eb日志的数据挖掘,可以发现用户访问页面的行为模式,改进W eb站点的性能和结构,提高查找信息的质量和效率.对W eb日志挖掘预处理的数据清洗、识别用户、识别用户会话和识别片断四个主要阶段所要完成的任务进行分析,论述了现有W eb日志预处理方法中的用户识别技术,提出了一种基于Cook ie技术和扩充日志属性的用户识别方法.Through the mining of Web logs, the patterns of the behavior that users visit the Web pages can be found. Then, on the performance and configuration of Web sites, the quality and efficiency of the information finding can be proved. The tasks which must be done in the pretreatment of Web logs mining is analyzed, and the user＇ s recognition technologies in the pretreatment of Web logs mining today is discussed, and then a method of user＇ s recognition which based on the technology of Cookies is proposed, and the expansion of Web logs＇ properties can be obtained.

关 键 词：WEB 日志挖掘 数据预处理 COOKIE技术 数据挖掘 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]