期刊文献+

基于XML的Web文本挖掘模型的研究与设计 被引量:4

Research and design of XML-based web text mining model
在线阅读 下载PDF
导出
摘要 Web上的数据量急剧膨胀使得进行Web数据挖掘成为数据挖掘技术研究的热点。而XML能够为Web挖掘提供半结构化的数据模型,解决了Web挖掘中的数据源问题。介绍了XML的和Web文本挖掘的概念,提出了一种基于XML的Web文本挖掘模型,剖析了该模型的各个组成部分,给出了该模型的特点。 With the flood of the data on the web, web data mining has become the focus of the data mining technology. XML can provide a semi-structrual data model for web data mining, resolving the difficult of data source for web mining. The definition of XML and web text mining is introduced generally, a model of XML-based web text mining is designed, and the parts of the model is analysed, and finally the characteristics of the model is presented.
出处 《计算机工程与设计》 CSCD 北大核心 2007年第10期2287-2290,共4页 Computer Engineering and Design
关键词 WEB数据挖掘 数据挖掘技术 半结构化 数据源 WEB文本挖掘 基于XML的Web文本挖掘模型 web data mining data mining technology semi-structrual data source web text mining model of XML-based webtext mining
  • 相关文献

参考文献8

二级参考文献73

  • 1徐振航,刘莉芹.XML与面向Web的数据挖掘技术[J].软件世界,2000(10):120-122. 被引量:16
  • 2杨炳儒.知识工程和知识发现[M].冶金工业出版社,2000..
  • 3[1]Bay T, Paoli J, Sperberg-McQueen C M. Extensible Markup Language(XML) 1.0 Specification World Wide Web Consortium Recommendation[EB/OL]. http://www.w3.org/TR/REC-xml/,1999.
  • 4[2]Ananel S S. Designing a kenel for data mining[J]. IEEE Expert on Intelligent System,1997,27(3):947-963.
  • 5[3]Lawrence S, et al. Searching the world wide web[J]. Science,1998,280(5360):98-100.
  • 6[4]Anne Lear. XML Seen as Integral to application integration[J]. IT Pro,1999,(9/10):1012-1031.
  • 7[1]Oren Etzioni.The World Wide Web: quagmire or gold mine. Communication of the ACM, 1996, 39(11)
  • 8[2]L.F.Chien. Text and Log Mining for Web Information Retrieval, Institute of Information Science.Taiwan:Academia Sinica,2002
  • 9[4]Liyh, Jainak Classification of Text Documents.the Computer Journal,1998;(8)
  • 10[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

共引文献147

同被引文献25

引证文献4

二级引证文献5

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