Table of Contents

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Managing Data Mining Technologies in Organizations: Techniques and Applications
by Parag Pendharkar (ed)	ISBN:1591400570
Idea Group Publishing 2003 (288 pages)
This book 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.

Table of Contents
	Managing Data Mining Technologies in Organizations—Techniques and Applications
	Foreword
	Preface
	Chapter 1	-	Bayesian Networks as a Decision Support Tool in Credit Scoring Domain
	Chapter 2	-	Frontier versus Ordinary Regression Models for Data Mining
	Chapter 3	-	An Evolutionary Misclassification Cost Minimization Approach for Medical Diagnosis
	Chapter 4	-	Guiding Knowledge Discovery Through Interactive Data Mining
	Chapter 5	-	A Proposed Process for Performing Data Mining Projects
	Chapter 6	-	Data Mining for Optimal Combination Demand Forecasts
	Chapter 7	-	The Myth of Enterprise Database Redesign
	Chapter 8	-	New Information Technologies and Other Pertinent Issues Impacting the Strategic Dimension of CRM for Business Excellence
	Chapter 9	-	Utilization of Data Mining Techniques to Detect and Predict Accounting Fraud: A Comparison of Neural Networks and Discriminant Analysis
	Chapter 10	-	A Multidimensional Data Warehouse Development Methodology
	Chapter 11	-	A Telecommunications Model for Managing Complexity of Voice and Data Networks and Services
	Chapter 12	-	Combination Forecasts Based on Markov Chain Monte Carlo Estimation of the Mode
	Chapter 13	-	Web Mining: Creating Structure Out of Chaos
	Chapter 14	-	Connectionist and Evolutionary Models for Learning, Discovering and Forecasting Software Effort
	Index
	List of Figures
	List of Tables

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