References

References

Adriaans, P., and D. Zantinge. 1996. Data Mining. Edinburgh Gate, England: Addison Wesley Longman.

Berry, M. J. A., and G. Linoff. 1997. Data Mining Techniques for Marketing, Sales, and Customer Support. New York: John Wiley & Sons, Inc.

Bigus, J. P. 1996. Data Mining with Neural Networks: Solving Business Problems from Application Development to Decision Support. New York: McGraw-Hill Companies.

Bishop, C. M. 1995. Neural Networks for Pattern Recognition. New York: Oxford University Press.

Breiman, L., et al. 1984. Classification and Regression Trees. Belmont, CA: Wadsworth International Group.

CART: Tree-Structured Non-Parametric Data Analysis. Salford Systems, San Diego, CA.

Hand, D. J. 1997. Construction and Assessment of Classification Rules. New York: John Wiley & Sons, Inc.

Hoaglin, D. C., F. Mosteller, and J. W. Tukey. 1983. Understanding Robust and Exploratory Data Analysis. New York: John Wiley & Sons, Inc.

Little, R. J. A. 1992. "Regression with Missing X's: A Review," Journal of the American Statistical Association 87: 1227-1237.

Little, R. J. A., and D. B. Rubin. 1987. Statistical Analysis with Missing Data. New York: John Wiley & Sons, Inc.

Michie, D., D. J. Spiegelhalter, and C. C. Taylor. 1994. Machine Learning, Neural and Statistical Classification. New York: Ellis Horwood.

Ripley, B. D., and N. L. Hjort. 1996. Pattern Recognition and Neural Networks. New York: Cambridge University Press.

Sarle, W. S. 1994a, "Neural Network Implementation in SAS Software." Proceedings of the Nineteenth Annual SAS Users Group International Conference, Dallas, TX, 1550-1573.

Sarle, W. S. 1994b. "Neural Networks and Statistical Models." Proceedings of the Nineteenth Annual SAS Users Group International Conference, Dallas, TX, 1538-1550.

Sarle, W. S. 1995. "Stopped Training and Other Remedies for Overfitting." Proceedings of the 27th Symposium on the Interface. Statistics and Manufacturing with Subthemes in Environmental Statistics, Graphics, and Imaging, Pittsburgh, PA, 352-60.

SAS Institute Inc. Data Mining Using Enterprise Miner Software: A Case Study Approach. Cary, NC: SAS Institute Inc.

SAS Institute Inc. Logistic Regression Examples Using the SAS System. Cary, NC: SAS Institute Inc.

SAS Institute Inc. SAS Language Reference: Concepts. Cary, NC: SAS Institute Inc.

SAS Institute Inc. SAS Language Reference: Dictionary. Cary, NC: SAS Institute Inc.

SAS Institute Inc. SAS Procedures Guide. Cary, NC: SAS Institute Inc.

SAS Institute Inc. SAS/INSIGHT User's Guide. Cary, NC: SAS Institute Inc.

SAS Institute Inc. SAS/STAT User's Guide. Cary, NC: SAS Institute Inc.

Small, R. D. "Debunking Data Mining Myths." Information Week, January 20, 1997: http://www.twocrows.com/iwk9701.htm.

Smith, M. 1993. Neural Networks for Statistical Modeling. New York: Van Nostrand Reinhold.

Weiss, S. M., and N. Indurkhya. 1997. Predictive Data Mining: A Practical Guide. San Francisco, CA: Morgan Kaufmann.

Weiss, S. M., and C. A. Kulikowski. 1992. Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning, and Expert Systems. San Mateo, CA: Morgan Kaufmann.

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