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  • 标题:Mining databases on World Wide Web
  • 本地全文:下载
  • 作者:Manali Gupta ; Vivek Tomar ; Jaya Verma
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2011
  • 卷号:8
  • 期号:3
  • 出版社:IJCSI Press
  • 摘要:The power of the WWW comes not simply from static HTML pages - which can be very attractive, but the important first step into the WWW is especially the ability to support those pages with powerful software, especially when interfacing to databases. The combination of attractive screen displays, exceptionally easy to use controls and navigational aids, and powerful underlying software, has opened up the potential for people everywhere to tap into the vast global information resources of the Internet [1]. There is a lot of data on the Web, some in databases, and some in files or other data sources. The databases may be semi structured or they may be relational, object, or multimedia databases. These databases have to be mined so that useful information is extracted. While we could use many of the data mining techniques to mine the Web databases, the challenge is to locate the databases on the Web. Furthermore, the databases may not be in the format that we need for mining the data. We may need mediators to mediate between the data miners and the databases on the Web. This paper presents the important concepts of the databases on the Web and how these databases have to be mined to extract patterns and trends.
  • 关键词:Data Mining; Web Usage Mining; Document Object Model; KDD dataset
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