Microsoft Data Mining: Integrated Business Intelligence for e-Commerce and Knowledge Management

Appendix B: References

Pieter Adriaans and Dolf Zantinge. Data Mining. Addison-Wesley, 1996.

Michael J. A. Berry and Gordon Linoff. Data Mining Techniques for Marketing, Sales, and Customer Support. John Wiley & Sons, 1997.

W. A. Belson. A technique for studying the effects of a television broadcast, Applied Statistics, 5, 1956, 195.

Michael J. A. Berry and Gordon S. Linoff. Mastering Data Mining: The Art and Science of Customer Relationship Management. John Wiley & Sons, 2000.

Alex Berson, Stephen Smith, and Kurt Thearling. Building Data Mining Applications for CRM. McGraw-Hill, 2000.

David Biggs, B. de Ville, and E. Suen, A method of choosing multiway partitions for classification and decision trees, Journal of Applied Statistics, 18, 1, 1991, 49 62.

Leo Breiman, J. H. Friedman, R. A. Olshen, and C. J. Stone. Classification and Regression Trees, Wadsworth, 1984.

Barry de Ville, Applying statistical knowledge to database analysis and knowledge base construction, Proceedings of the Sixth IEEE Conference on Artificial Intelligence Applications, IEEE Computer Society, Washington, 30 36, March 1990.

N. M. Dixon. Common Knowledge: How Companies Thrive by Sharing What They Know, Harvard Business School Press, 2000.

H. J. Einhorn. Alchemy in the behavioral sciences, Public Opinion Quarterly, 36, 1972, 367 378.

Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth, and Ramasamy Uthurusamy. Advances in Knowledge Discovery and Data Mining, AAAI Press, The MIT Press, 1996.

Morten T. Hansen, Nitin Nohria, and Thomas Tierney. What s Your Strategy for Managing Knowledge? Harvard Business Review, 77, 2, 1999, 106 16. (Available: http://www.hbsp.harvard.edu/products/hbr/marapr99/99206.html...

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