Abstract
With the rapid development of Internet, the Internet has become the important resources of information transmission and share. The characteristics of Web data are semi-structured, heterogeneous and mass, making traditional data mining technology indirectly applied to Web data sources. Web data mining refers to extracting a potential, useful model from the Web documents or Web activities. Because of the structural and expansibility of XML, research on XML combined with Web data mining has also became popular.
Publisher
Trans Tech Publications, Ltd.
Reference5 articles.
1. S．K．Madria，S．Bhowmick，W．Research issues in Web data mining．In Proceedings of Data Warehousing and Knowledge Discovery, First International Conference, 1999: 303 - 312.
2. Chakrabarti, Dom B, Gibson, Kumar, Raghavan. Experiments in topic distillation．In: Proceedings of the ACM SIGIR workshop on Hypertext Information Retrieval based on the Web. Melbourne: ACM Press, 1998: 13-21.
3. Liu Lu. An XML—enabled wrapper construction system for Web information sources. In Proceedings of the 1 6m International Conference on Data Engineering. 2000: 121-135.
4. A Firm, A Kushmerick, B Smyth. Fact or fiction: Content classification for digital libraries．The 2nd DELOS Network of Excellence Workshop Personalization and Recommender Systems in Digital Libraries，Dublin eland, (2001).
5. Doorenbos Etzioni. A Scalable Comparison Shopping Agent for the World Wide Web. Proceedings of the first International Conference Oil Autonomous Agents. California. 1 997: 39-48.