The Research Of WEB Log Mining Based On Network Multiplayer Architecture

Popularity of the World Wide Web (WWW) on the Internet has exploded recently. The Web data have suffused all kinds of scopes. The effective search for valuable information can only be fulfilled by applying Web mining technology, which will serve us well.Firstly, this paper introduces the Web Mining concept, categories and status. In the World Wide Web field, there are roughly three knowledge discovery domains that pertain to Web mining: Web concept mining, Web structure mining, and Web log mining. In the paper we focus on Web log mining which is to discover the user's frequent browsing patterns through analyzing the log files on the Web server. Secondly, we focus on how to provide data mining models as services on the internet. In this paper, we give the architecture and development of web mining services and the problems during realization. Thirdly, we introduce the algorithm of frequent browsing patterns mining, and realize the algorithm of Mining Frequent Patterns without Candidate Generation (WAP-Mine). Finally, the author gives out some future research direction about the data mining and Web mining technology according to the present developing status.