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Full Description
Details the state-of-the-art data mining research, which reflects in a potpourri of chapters that demonstrate diverse use of techniques and their applications for data mining. The chapters illustrate applications of data mining and visualization for credit screening, forecasting, medical diagnosis, genetic algorithms, Bayesian networks, neural networks, and many others. The chapters discuss research results and applications of data mining to deliver rich decision-making information.
Contents
Bayesian Networks as a Decision Support Tool in Credit Scoring Domain; Frontier Versus Ordinary Regression Models for Data Mining; An Evolutionary Misclassification Cost Minimization Approach for Medical Diagnosis; Guiding Knowledge Discovery through Interactive Data Mining; A Proposed Process for Performing Data Mining Projects; Data Mining for Optimal Combination Demand Forecasts; The Myth of Enterprise Database Redesign; New Information Technologies and Other Pertinent Issues Impacting The Strategic Dimension of CRM for Business Excellence; Utilization of Data Mining Techniques to Detect and Predict. Accounting Fraud: A Comparison of Neural Networks and Discriminant Analysis; A Multidimensional Data Warehouse Development Methodology; A Telecommunications Model for Managing Complexity of Voice and Data Networks and Services; Combination Forecasts Based on Markov Chain Monte Carlo; Estimation of the Mode