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Data Mining for Web Intelligence
November 2002 (vol. 35 no. 11)
pp. 64-70
Jiawei Han, University of Illinois at Urbana-Champaign
Kevin Chen-Chuan Chang, University of Illinois at Urbana-Champaign

Searching, comprehending, and using the semistructured HTML, XML, and database-service-engineinformation stored on the Web poses a significant challenge: This data is more sophisticated and dynamic than the information commercial database systems store. To supplement keywordbased indexing, researchers have applied data mining to Webpage 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.

Citation:
Jiawei Han, Kevin Chen-Chuan Chang, "Data Mining for Web Intelligence," Computer, vol. 35, no. 11, pp. 64-70, Nov. 2002, doi:10.1109/MC.2002.1046977
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