Web-based Data Mining Technology and its Application

Data mining is a brand-new information technology emerging with the development of database technology and artificial intelligence technology in recent years. It is also an important subject that needs to be solved urgently by computer science and technology, especially the development and universal application of computer networks. Data mining is to discover interesting, hidden, and previously unknown knowledge from a large number of databases. Data mining technology mainly studies structured data mining, while Web data mining is applied technology research, which is to extract interesting and potential patterns from semi-structured or unstructured Web pages. With the increasing resources on the World Wide Web, how to use effective methods to obtain the required information has become an important problem for researchers. Mining refers to data from the Web, such as Web logs and Web page content. Page content discovers users' browsing patterns or searches for related Web pages. Web mining can not only provide reasonable suggestions for site managers, investors, and advertisers but also provide powerful intelligent search engines and personalized services for users. Because it is an unstructured, dynamic, and distributed information system, it is difficult to mine it directly, and the acquired knowledge is unreliable. However, the log of the server has a complete structure. Therefore, we can mine the usage of data by mining web log files. The performance of the Web server system can be enhanced, network service quality for users can be improved, and potential customers in e-commerce can be identified by evaluating and investigating the rules in log data. In this paper, the dynamics of Web mining are analyzed, issues are presented, data mining and Web mining technologies are introduced, and the connection between XML and Web mining is discussed.