The Web Software Mining Based on Vector Space Model

摘要：

The article designed a web software mining system, discussed the techniques what used in the system and raised the solutions for issues in system. A web crawler software has been designed and implemented according to the feature of the World Wide Web. Base on the information present by web pages, the article unproved feature selection method and key words weighted algorithm using web test mining techniques and achieved a highly precise and efficient information mining. Finally the article used the improved mining algorithm to make a classification and clustering to web crawler software.

关键词： web mining feature selection word segmentation classification

作者: Feijie Wang Zhongying Bai

作者单位: Beijing University of Posts and Telecommunications Beijing,China

会议类型: 国际会议

会议名称: 2009 First International Conference on Future Information Networks(第一届未来信息网络国际会议)

会议地点: 北京

会议语种:英文

页码: 275-279

在线出版日期: 2009-10-14（万方平台首次上网日期，不代表论文的发表时间）