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| Jiawei Han, Kevin Chen-Chuan Chang, "Data Mining for Web Intelligence," Computer, vol. 35, no. 11, pp. 64-70, November, 2002. | |||
| BibTex | x | ||
| @article{ 10.1109/MC.2002.1046977, author = {Jiawei Han and Kevin Chen-Chuan Chang}, title = {Data Mining for Web Intelligence}, journal ={Computer}, volume = {35}, number = {11}, issn = {0018-9162}, year = {2002}, pages = {64-70}, doi = {http://doi.ieeecomputersociety.org/10.1109/MC.2002.1046977}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - Computer TI - Data Mining for Web Intelligence IS - 11 SN - 0018-9162 SP64 EP70 EPD - 64-70 A1 - Jiawei Han, A1 - Kevin Chen-Chuan Chang, PY - 2002 VL - 35 JA - Computer ER - | |||
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.