Table of Content
TECHNIQUES OF DATA MINING An Approach to Analyzing and Modeling Systems for Real-Time Decisions, J. C. Brocklebank, T.Lehman, T. Grant, , R. Burgess, L. Nagar, H. Mukherjee, J.Dadhich, and P. Chaklanobish Ensemble Strategies for Neural Network Classifiers, P. Mangiameli and D. West Neural Network Classification with Uneven Misclassification, Costs and Imbalanced Group Sizes, J. Lan, M. Y. Hu, E. Patuwo, and G. P. Zhang To stay ahead of the competition, organizations must possess the skill set needed to make faster and more informed decisions. The data mining methods outlined in this text give savvy decision-makes the competitive advantage in an ever-evolving marketplace. Data Cleansing with Independent Component Analysis, G. Zeng and M. J. Embrechts A Multiple Criteria Approach to Creating Good Teams over Time, R.K. Klimberg , K. J. Boyle, and I. Yermish APPLICATIONS OF DATA MINING Data Mining Applications in Higher Education, C. M. Davis, J. M. Hardin, T. Bohannon, and Jerry Oglesby Data Mining for Market Segmentation with Market Share Data A Case Study Approach I. Mowerman and S. J. Lloyd An Enhancement of the Pocket Algorithm with Ratche for Use in Data Mining Applications L. W. Glorfeld and D. White Identification and Prediction of Chronic Conditions for Health Plan Members Using Data Mining Techniques T.L. Perry, S. Kudyba, and K. Lawrence Monitoring and Managing Data and Process Quality Using Data Mining: Business Process Management for the Purchasing and Accounts Payable Processes, D.E. O'Leary Data Mining for Individual Consumer Models and Personalized Retail Promotions, R. Ghani, C. Cumby, A. Fano, and M. Krema OTHER AREAS OF DATA MINING Data Mining Common Definitions, Applications, and Misunderstandings, R.D. Pollack Fuzzy Sets in Data Mining and Ordinal Classification, D. L. Olson, H. Moshkovich and, A. Mechitov Developing an Associative Keyword Space of the Data Mining Literature through Latent Semantic Analysis, A. Gardiner A Classification Model for a Two-Class (New Product Purchase) Discrimination Process using Multiple-Criteria Linear Programming, K.D. Lawrence, D. R. Pai, R.K. Klimberg, S. Kudyba and, S. M. Lawrence
