Web business intelligence: Mining the web for actionable knowledge

INFORMS Journal on Computing

Volumn 15, Issue 2 SPEC., 2003, Pages 191-207

  Srivastava, Jaideep ^a   Cooley, Robert ^b  

^a University of Minnesota   (United States)

^b KXEN Inc   (United States)

Author keywords

Artificial Intelligence; Computers Computer Science; Data Bases

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; DATA MINING; INDEXING (OF INFORMATION); INFORMATION RETRIEVAL; INFORMATION TECHNOLOGY; KNOWLEDGE ACQUISITION; MATHEMATICAL MODELS; USER INTERFACES;

DATA BASES; WEB BUSINESS INTELLIGENCE (WBI); WEB CONTENT ACQUISITION; WEB-USAGE MINING (WUM);

WORLD WIDE WEB;

EID: 3843092716     PISSN: 10919856     EISSN: 15265528     Source Type: Journal    
DOI: 10.1287/ijoc.15.2.191.14447     Document Type: Review

References (21)

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