Research and Implement of Classification Algorithm on Web Text Mining

摘要：

Research and application of Web text mining is an important branch in the data mining. Web is the biggest information system currently. Now people mainly use the search engine to look up Web information. The problem of getting reliable rate and comprehensive rate is increasingly convex, and it is very difficult to mine data further. Now the search engine can hardly provide individual service according to different need of different customers. However, Web text mining aims at resolving this problem. This paper discusses an Algorithm of how to follow the appointed Website or Web page according to the users request, how to analysis, compare, sample, reserve and classify the data information combined with the Web page text contents for later use. The model of Web text mining, mining algorithm and implement technique are discussed in details.

关键词： Web text mining individual service Text Classification Characteristic Vector Similitude degree

作者: Shiqun Yin Gang Wang Yuhui Qiu Weiqun Zhang

作者单位: Faculty of Computer and Information Science Southwest University Chongqing, China 400715

会议类型: 国际会议

会议名称: 2007年第三届语义和知识网格国际会议(Third International Conference on Semantics,Knowledge,and Grid)(SKG 2007)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-10-29（万方平台首次上网日期，不代表论文的发表时间）