Web挖掘在Web交易中的应用  

Application of Web Data Mining on Web Transaction

作　　者：林苗[1] 张广泉[1] 

机构地区：[1]重庆师范大学数学与计算机科学学院

出　　处：《重庆师范大学学报（自然科学版）》2007年第3期38-41,共4页Journal of Chongqing Normal University:Natural Science

基　　金：重庆市自然科学基金(No.CSTC2006BB2259);重庆市教委科学技术研究项目(No.040803);中国科学院计算机科学国家重点实验室开放课题(No.SYSKF0303)

摘　　要：基于Web的数据挖掘是一种结合了数据挖掘和互联网系统的热门研究课题。随着互联网的高速发展,Web挖掘由于其独特的优点,在Web交易中扮演了越来越重要的角色。运用Web挖掘对Web交易服务器的日志文件和客户交易信息进行挖掘,有助于企业了解客户的访问行为,挖掘潜在客户群和开展有针对性的服务。对Web挖掘技术进行综述,并介绍了该技术在Web交易中的几个应用。Data miming is the most effective means to solve the problem of ＂data blast＂ ,and it becomes one of the hottest re- search fileds. With the rapid speed development of Internet, Web mining which has unique advantages is playing more and more important role in the Web transaction application, and large volumes of data such as user address or URL requested are gathered automatically by Web servers and collected in access log files. In the Web transaction, the users browsing behavior can be discovered by applying Web data mining technology to Web data ,such as server logs . And its helpful for the modern enterprises to provide personal information service and make their electronic commerce strategies. We first analyze the new characteristics of Web data mining on Web transaction and present its concrete usage in this domain. Then we discuss the method to be used in the Web transaction.

关 键 词：数据挖掘 WEB挖掘 Web交易 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]