期刊文献+

基于XML的Web数据挖掘模型设计与研究 被引量:1

Design and Research on Web Data Mining Model Based on XML
下载PDF
导出
摘要 由于互联网上存在大量的信息资源,Web挖掘已成为数据挖掘的热点。本文介绍Web数据挖掘技术,比较HTML和XML的不同,充分利用XML的优越性,提出一种基于XML的数据挖掘模型,并详细论述该模型的特点及用途。 Because there are lots of information resources in the Internet,Web mining has become a hotspot in data mining.This paper introduces the technology of Web data mining simply,and compares with HTML and XML.Finally,the paper makes full use of the superiority of XML to propose a data mining model based on XML,and describes the characteristic and purpose of the mining model in detail.
作者 周炘 邓蓉
出处 《计算机与现代化》 2010年第11期60-62,共3页 Computer and Modernization
关键词 WEB数据挖掘 XML 信息提取 网络爬虫 Web data mining XML information extraction Web crawler
  • 相关文献

参考文献8

二级参考文献25

  • 1曾黄麟.粗集理论及其应用(一)[J].四川轻化工学院学报,1996,9(1):18-28. 被引量:41
  • 2王珏,苗夺谦,周育健.关于Rough Set理论与应用的综述[J].模式识别与人工智能,1996,9(4):337-344. 被引量:264
  • 3(加)Han J·Kamber M著 范明 孟小峰 等译.数据挖掘概念与技术(Data Mining:Concepts Techniques)[M].机械工业出版社,2001..
  • 4[1]Jesus Mena. Data Mining Your Website.Digital Press,1999.7 ISBN 155558-222
  • 5[2]Wayne W Eckerson. Marrying E-Commerce and Customer Intelli gence
  • 6[3]Usama M Fayyad. Advances in knowledge discovery and data mining.1996
  • 7[4]W H Inmon John A Zachman Jonathan G Geiger Data stores,datawarehousing,and the Zachman Framework:managing enterprise knowledge.1999
  • 8[5]Alex Berson,tephen J Smith. Data warehousing,data mining, and OLAP.1997
  • 9[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.
  • 10[2]Ananel S S. Designing a kenel for data mining[J]. IEEE Expert on Intelligent System,1997,27(3):947-963.

共引文献577

同被引文献13

  • 1梅东霞,张晓明.基于单个XML文档结构的数据挖掘[J].石油化工高等学校学报,2007,20(1):94-98. 被引量:3
  • 2Zhou X, Wang H. Automatic data extraction from lists in Web pages based on XML [ C//Proceedings of the 2009 3rd International Conference on Teaching and Computational Science (WTCS 2009). 2009 :915-922.
  • 3Banko M, Cafarella M J, Soderland S, et al. Open information extraction from the Web [ C// Proceedings of the 20th International Joint Conference on Artificial Intelligence. 2007 :2670-2676.
  • 4Li L, Rong Q M. Research of Web mining technology based on XML[ C ]//Proceedings of the 2009 International Conference on Networks Security, Wireless Communications and Trusted Computing. 2009,2 :653-656.
  • 5Sourceforge. Net. JTidy: Project Summary [EB/OL]. ht-tp://jtidy. sourceforge. net/projeet-summany. html, 2012-03-26.
  • 6Sourceforge. Net. Dom4j Project Information [EB/OL]. ht-tp://dom4j. sourceforge. net/project-info. html, 2012-04-05.
  • 7Mark D,Nutting J,LaMarche J. Beginning iOS 5 Develop-ment[M]. Apress, 2011 ;445-491.
  • 8JBoss Community. About Hibernate [ EB/OL]. http:// www. hibernate, org/about, 2012-03-26.
  • 9Liu W,Meng X F, Meng W Y. ViDE; A vision-based approach for deep Web data extraction [ J ]. IEEE Transactions on Knowledge and Data Engineering, 2010,22 ( 3 ): 447-460.
  • 10刘桂峰,李林,崔志明.一种自动抽取Web数据对象的方法[J].计算机应用与软件,2009,26(6):48-51. 被引量:2

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