Data Mining - Mehmed Kantardzic [289]
Liu, H., H. Motoda, eds., Feature Extraction, Construction and Selection: A Data Mining Perspective, Kluwer Academic Publishers, Boston, MA, 1998.
Liu, H., H. Motoda, Feature Selection for Knowledge Discovery and Data Mining, Second Printing, Kluwer Academic Publishers, Boston, 2000.
Pass, S., Discovering Value in a Mountain of Data, OR/MS Today, October 1997, 24–28.
Pyle, D., Data Preparation for Data Mining, Morgan Kaufmann Publ. Inc., New York, 1999.
Refaat, M., Treatment of Missing Values, Data Preparation for Data Mining Using SAS, 2007, pp. 171–206.
Tan, P.-N., M. Steinbach, V. Kumar, Introduction to Data Mining, Pearson Addison-Wesley, Boston, 2006.
Weiss, S. M., N. Indurkhya, Predictive Data Mining: A Practical Guide, Morgan Kaufman Publishers, Inc., San Francisco, 1998.
Westphal, C., T. Blaxton, Data Mining Solutions: Methods and Tools for Solving Real-World Problems, John Wiley & Sons, Inc., New York, 1998.
Witten, I. H., E. Frank, Data Mining: Practical Machine Learning Tools and Techniques, 2nd edition, Elsevier Inc., St. Louis, MO, 2005.
CHAPTER 3
Adriaans, P., D. Zantinge, Data Mining, Addison-Wesley Publ. Co., New York, 1996.
Berson, A., S. Smith, K. Thearling, Building Data Mining Applications for CRM, McGraw-Hill, New York, 2000.
Brachman, R. J., T. Khabaza, W. Kloesgen, G. S. Shapiro, E. Simoudis, Mining Business Databases, CACM, Vol. 39, No. 11, 1996, pp. 42–48.
Chen, C. H., L. F. Pau, P. S. P. Wang, Handbook of Pattern Recognition and Computer Vision, World Scientific Publ. Co., Singapore, 1993.
Clark, W. A. V., M. C. Deurloo, Categorical Modeling/Automatic Interaction Detection, Encyclopedia of Social Measurement, 2005, pp. 251–258.
Dwinnell, W., Data Cleansing: An Automated Approach, PC AI, March/April 2001, pp. 21–23.
Eddy, W. F., Large Data Sets in Statistical Computing, in International Encyclopedia of the Social & Behavioral Sciences, N. J. Smelser, P. B. Battes, ed., Pergamon, Oxford, 2004, pp. 8382–8386.
Fayyad, U. M., G. Piatetsky-Shapiro, P. Smith, R. Uthurusamy, eds., Advances in Knowledge Discovery and Data Mining, AAAI Press/MIT Press, Cambridge, 1996.
Groth, R., Data Mining: A Hands-On Approach for Business Professionals, Prentice Hall, Inc., Upper Saddle River, NJ, 1998.
Han, J., M. Kamber, Data Mining: Concepts and Techniques, 2nd edition, Morgan Kaufmann, San Francisco, CA, 2006.
Jain, A., R. P. W. Duin, J. Mao, Statistical Pattern Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22, No. 1, 2000, pp. 4–37.
Kennedy, R. L., et al. Solving Data Mining Problems through Pattern Recognition, Prentice Hall, Upper Saddle River, NJ, 1998.
Kil, D. H., F. B. Shin, Pattern Recognition and Prediction with Applications to Signal Characterization, AIP Press, Woodburg, NY, 1996.
Liu, H., H. Motoda, eds., Feature Extraction, Construction and Selection: A Data Mining Perspective, Kluwer Academic Publishers, Boston, MA, 1998.
Liu, H., H. Motoda, Feature Selection for Knowledge Discovery and Data Mining, Second Printing, Kluwer Academic Publishers, Boston, 2000.
Liu, H., H. Motoda, eds., Instance Selection and Construction for Data Mining, Kluwer Academic Publishers, Boston, MA, 2001.
Maimon, O., M. Last, Knowledge Discovery and Data Mining: The Info-Fuzzy Network (IFN) Methodology, Kluwer Academic Publishers, Boston, MA, 2001.
Pyle, D., Data Preparation for Data Mining, Morgan Kaufmann Publ. Inc., New York, 1999.
Sun, Y., Iterative RELIEF for Feature Weighting: Algorithms, Theories, and Applications, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 29, No. 6, 2007, pp. 1035–1051.
Sun, Y., D. Wu, Feature Extraction through Local Learning, Proceedings of the 21st International Conference on Machine Learning, Banff, Canada, 2004.
Sun, Y., D. Wu, A RELIEF Based Feature Extraction Algorithm, Proc. of the 8th SIAM Intl. Conf. Data Mining, 2008.
Tan, P.-N., M. Steinbach, V. Kumar, Introduction to Data Mining, Pearson Addison-Wesley, Boston, 2006.
Wang, Y., F. Makedon, Application