Web Business Intelligence: Mining the Web for Actionable Knowledge

References

  • Agarwal R. C., Aggarwal C. C., Prasad V. V. V. A tree projection algorithm for generation of frequent itemsets. J. of Parallel and Distributed Comput. (2001) 61:350–371CrossrefGoogle Scholar
  • Agrawal R., Srikant R. Fast algorithms for mining association rules. Proc. of the 20th VLDB Conference (1994) Santiago, Chile(Morgan Kaufmann, San Francisco, CA) 487–499Google Scholar
  • CACM Personalized views of personalization. Comm. of the ACM (2000) 43Google Scholar
  • Chakrabarti S., van der Berg M., Dom B. Focused crawling: A new approach to topic-specific Web resource discovery. Comput. Networks (1999) 31:1623–1640CrossrefGoogle Scholar
  • Chen M-S., Han J., Yu P. S. Data mining: An overview from a database perspective. IEEE Trans. on Knowledge and Data Engrg. (1996) 8:866–883CrossrefGoogle Scholar
  • Choo C. W., Detlor B., Turnbull D.Web Work: Information Seeking and Knowledge Work on the World Wide Web (2000) (Kluwer Academic Publishers, Dordrecht, The Netherlands) CrossrefGoogle Scholar
  • Craven M., DiPasquo D., Freitag D., McCallum A., Mitchell T., Nigam K., Slattery S. Learning to extract symbolic knowledge from the World Wide Web. 15th Conf. of the Amer. Association for Artificial Intelligence (1998) Madison, WI(AAAI Press, Menlo Park, CA) 509–516Google Scholar
  • Fayyad U., Piatetsky-Shapiro G., Smyth P., Fayyad U., Piatetsky-Shapiro G., Smyth P., Uthurusamy R. From data mining to knowledge discovery: An overview. Advances in Knowledge Discovery and Data Mining (1996) (MIT Press, Cambridge, MA) 1–36Google Scholar
  • Gibson D., Kleinberg J., Raghavan P. Inferring Web communities from link topology. Conf. on Hypertext and Hypermedia (1998) Pittsburgh, PA.(New York)225–234Association for Computing MachineryCrossrefGoogle Scholar
  • Gray J., Bosworth A., Layman A., Pirahesh H. Data cube: A relational aggregation operator generalizing group-by, cross-tab, and sub-totals. 12th Internat. Conf. on Data Engrg. (1996) New Orleans, LA.(IEEE Computer Society, New York) 152–159CrossrefGoogle Scholar
  • Gruser J-R., Raschid L., Vidal M. E., Bright L. Wrapper generation for Web accessible data sources. Conf. on Cooperative Inform. Systems (1998) New York(IEEE Computer Society, New York) 14–23CrossrefGoogle Scholar
  • Heydon A., Najork M. Mercator: A scalable, extensible Web crawler. World Wide Web (1999) 2:219–229CrossrefGoogle Scholar
  • Kaufman L., Rousseeuw P. J.Finding Groups in Data: An Introduction to Cluster Analysis (1990) (John Wileyand Sons, New York) CrossrefGoogle Scholar
  • Kosala R., Blockeel H. Web mining research: A survey. SIGKDD Explorations (2000) 2:1–15CrossrefGoogle Scholar
  • Kushmerick N., Weld D., Doorenbos R. Wrapper induction for information extraction. Internat. Joint Conf. on Artificial Intelligence (1997) Nagoya, Japan.(Morgan Kaufmann, San Francisco, CA) 729–735Google Scholar
  • Mannila H., Toivonen H., Verkamo A. I. Discovering frequent episodes in sequences. First Internat. Conf. on Knowledge Discovery and Data Mining (1995) Montreal, Quebec.(AAAI Press, Menlo Park, CA) 210–215Google Scholar
  • Sahuguet A., Azavant F. Building light-weight wrappers for legacy Web data sources using W4F. Internat. Conf. on Very Large Databases (1999) Edinburgh, Scotland.(Morgan Kaufmann, San Francisco, CA) 738–741Google Scholar
  • Salton G., McGill M. J.Introduction to Modern Information Retrieval (1983) (McGraw-Hill, New York) Google Scholar
  • Spiekermann S., Grossklags J., Berendt B. E-privacy in 2nd generation e-commerce: Privacy preferences versus actual behavior. Internat. Conf. on Electronic Commerce (2001) Tampa, FL.(Association for Computing Machinery, New York) 38–47CrossrefGoogle Scholar
  • Srivastava J., Cooley R., Deshpande M., Tan P.-N. Web usage mining: Discoveryand application of usage patterns from Web data. SIGKDD Explorations (2000) 1:12–23CrossrefGoogle Scholar
  • Tufte E.The Visual Display of Quantitative Information (2001) (Graphics Press, Cheshire, CT) Google Scholar
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