Abstract

Searching, comprehending, and using the semistructured HTML, XML, and database-service-engine information stored on the Web poses a significant challenge: This data is more sophisticated and dynamic than mc information commercial database systems store. To supplement keyword-based indexing, researchers have applied data tinning to Web-page ranking. In this context, data mining helps Web search engines find high-quality Web pages and enhances Web click stream analysis. For the Web to reach its full potential, however, we must improve its services, make it more comprehensible, and increase its usability. As researchers continue to develop data mining techniques, the authors believe this technology wilt play an increasingly important role in meeting the challenges of developing the intelligent Web. Ultimately, data mining for Web intelligence will make the Web a richer, friendlier, and more intelligent resource that we can all share and explore.

Original languageEnglish (US)
Pages64-70
Number of pages7
Volume35
No11
Specialist publicationComputer
DOIs
StatePublished - Nov 2002

ASJC Scopus subject areas

  • Computer Science(all)

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