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Data mining for Web intelligence

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2 Author(s)
Jiawei Han ; Illinois Univ., Urbana, IL, USA ; Chang, K.C.-C.

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 the information commercial database systems store. To supplement keyword-based indexing, researchers have applied data mining 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 will 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. The paper considers how data mining holds the key to uncovering and cataloging the authoritative links, traversal patterns, and semantic structures that will bring intelligence and direction to our Web interactions.

Published in:

Computer  (Volume:35 ,  Issue: 11 )

Date of Publication:

Nov 2002

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