基于web挖掘的用户服务研究

数据丰富而知识贫乏导致了知识发现和数据挖掘领域的出现。基于Web的数据挖掘，是从Web海量的数据中自动、智能地抽取隐藏于这些数据中的知识，分析了Web挖掘技术的概念、特点、技术等。根据Web数据挖掘最流行的分类，可以分为Web内容挖掘、Web结构挖掘和Web使用记录挖掘。其中Web使用挖掘就是运用数据挖掘的思想来对服务器日志进行分析处理。该文根据Web数据挖掘的最近研究状况，主要论述了一个更新的频繁路径集的挖掘浏览模式在Web用户个性化服务中的应用，同时，还对发现的知识讨论了其在在线服务中的应用并给出了相应算法。

Researsh on Web User Service in Web Log Mining

Being rich in data but deficient in knowledge leads to the appearance of Knowledge Discovery and Data Mining.Web-based data mining is finding knowledge automatically and intelligently from a great deal of web data. The concept, characteristics and technology of web-based data mining are summarized. The most recognized approach is to categorize Web mining into three areas : Web content mining, Web structure mining, and Web usage mining .Web Usage mining is the application of data mining technology to usage logs of server. Based on the latest frequent access paths of the Web mining access model, according to the current state of Web mining, this article mainly discusses the individual information service to Web users. At the same time , this article gives a discussion concerning the use of discovered knowledge in online server system.