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Managing Data Mining Technologies in Organizations: Techniques and Applications - page 1

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Pendharkar P.

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Table of Contents
Table of Contents
BackCover
Managing Data Mining Technologies in Organizations: Techniques and Applications
Foreword
Preface
Chapter 1: Bayesian Networks as a Decision Support Tool in Credit Scoring Domain
Introduction
Credit Scoring System
Introduction to Bayesian Networks
The Scope of the Economic-Financial Analysis of an Enterprise
Building a Credit Scoring System
Credit Scoring System-The Bayesian Network Implementation
Conclusions
References
Endnotes
Chapter 2: Frontier versus Ordinary Regression Models for Data Mining
Introduction
Pure Frontier Models
Contrasts of Meaning and Purpose
Data Mining Uses and Suggested Guidelines
Other Models and Applications
Conclusions
References
Chapter 3: An Evolutionary Misclassification Cost Minimization Approach for Medical Diagnosis
Abstract
Introduction
Overview of Discriminant Analysis and Genetic Algorithm Approaches to Discriminant Analysis
Integrating Type I and Type II Cost Preferences in Genetic-Algorithm-Based Classification Systems
Experiments on Simulated and Real-Life Data Sets
Summary and Directions for Future Work
References
Chapter 4: Guiding Knowledge Discovery Through Interactive Data Mining
Introduction
User Participation
Presentation
Presentation of Mining Results
Human Computer Interaction
Interactive Data Mining
Conclusion
References
Chapter 5: A Proposed Process for Performing Data Mining Projects
Introduction
Literature Review
Research Methodology
Case Study Analysis and Discussion of Findings
Conclusions
References
Endnote
Chapter 6: Data Mining for Optimal Combination Demand Forecasts
Abstract
Introduction
Methodology and Experiments
The Series
Individual Forecasting Methods
Alternative Weighting Methods
Performance Measurements
Results of Forecasting Experiments
Hybrid Weighting Method
Common Forecasting Methods for Every Item
Introducing Seasonality into the Forecasts
Conclusions
Reference
Chapter 7: The Myth of Enterprise Database Redesign
Abstract
Introduction
Theoretical Lens
Research Methodology
Format of Interviews
Emic Perspective
Discussion and Conclusions
References
Chapter 8: New Information Technologies and Other Pertinent Issues Impacting the Strategic Dimension of CRM for Business Excellence
Abstract
Introduction
History of CRM, CRM s Goal and the Role of Information Technology in CRM
Why CRM
Issues Influencing Success of CRM Solutions
Current Issues with CRM in Business
Examples of Applications of CRM in Business

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Managing Data Mining Technologies in Organizations: Techniques and Applications - page 1