期刊文献+

基于结构挖掘和使用挖掘的Web挖掘算法研究 被引量:5

Web Mining Algorithm Research Based on Web Structure Mining and Web Usage Mining
下载PDF
导出
摘要 Web挖掘是指使用数据挖掘技术从Web文档和服务中发现和提取信息和知识的技术。本文概述了Web数据挖掘的基本情况以及Web结构挖掘和Web使用挖掘的基本概念。结合对Web结构挖掘中的PageRank算法和Web使用挖掘的主要步骤和算法的研究后,本文提出了一种融合这两种Web挖掘算法的一种新的、综合的Web挖掘算法。 Web mining is a technology which use data mining technology to find and draw interesting information and knowledge from Web files and services. This thesis summarizes the basic situation of Web data mining and the concept of Web structure mining and Web usage mining. After combined the PageRank algorithm of Web structure mining and the major steps and algorithms of the Web usage mining, this thesis propose a new, comprehensive Web mining algorithm which integrated this two Web mining algorithms
作者 焦金涛
出处 《武夷学院学报》 2008年第5期44-47,共4页 Journal of Wuyi University
关键词 WEB挖掘 WEB使用挖掘 WEB结构挖掘 PAGERANK Web mining Web usage mining Web structure mining PageRank
  • 相关文献

参考文献3

二级参考文献31

  • 1[1]Oren Etzioni.The World Wide Web: quagmire or gold mine. Communication of the ACM, 1996, 39(11)
  • 2[2]L.F.Chien. Text and Log Mining for Web Information Retrieval, Institute of Information Science.Taiwan:Academia Sinica,2002
  • 3[4]Liyh, Jainak Classification of Text Documents.the Computer Journal,1998;(8)
  • 4[5]Yang Yi Ming,Liuxin.Are-Examination of Text Categorization Methods. Proceedings of ACM SIGIR Conferencee on Research and Development in Information Retrieval (SIGIR'99), Berkeley, CA, 1999
  • 5[6]袁曾任.人工神经元网络及其应用.北京:清华大学出版社,2000
  • 6[8]http://www.megaputer.com
  • 7[10]S.A. Morris, Z. Wu, G. Yen.A SOM Mapping Technique for Visualizing Documents in a Database.International Joint Conference on Neural Networks, Washington D.C.USA, 2001;(3)
  • 8[11]M.A Hearst, J.O Pedersen. Visualizing Information Retrieval Results: a Demonstration of the Tilebar Interface. Proceedings of the CHI'96 conference Companion on Human Factors in Computing Systems: Common Ground, (1996a)
  • 9[14]L. Page, S. Brin, etc.The PageRank Citation Ranking: Bringing Order to the web. Stanford Digital Libraries Working Paper, 1998
  • 10[15]S. Chakrabarti, B E. Dom, D. Gibson etc.Mining the Link structure of the World Wide Web, IEEE Computer, 1999;(8)

共引文献65

同被引文献16

引证文献5

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部