روش‌ها و کاربردهای داده‌کاوی ۲۰۰۷
Data Mining Methods and Applications 2007

1. Front cover

2. Dedications

3. Contents

4. Preface

5. About the Editors

6. Editors and Contributors

7. PART I: TECHNIQUES OF DATA MINING

8. Chapter 1. An Approach to Analyzing and Modeling Systems for Real-Time Decisions

9. Chapter 2. Ensemble Strategies for Neural Network Classifiers

10. Chapter 3. Neural Network Classification with Uneven Misclassification Costs and Imbalanced Group Sizes

11. Chapter 4. Data Cleansing with Independent Component Analysis

12. Chapter 5. A Multiple Criteria Approach to Creating Good Teams over Time

13. PART II: APPLICATIONS OF DATA MINING

14. Chapter 6. Data Mining Applications in Higher Education

15. Chapter 7. Data Mining for Market Segmentation with Market Share Data: A Case Study Approach

16. Chapter 8. An Enhancement of the Pocket Algorithm with Ratchet for Use in Data Mining Applications

17. Chapter 9. Identifcation and Prediction of Chronic Conditions for Health Plan Members Using Data Mining Techniques

18. Chapter 10. Monitoring and Managing Data and Process Quality Using Data Mining: Business Process Management for the Purchasing and Accounts Payable Processes

19. Chapter 11. Data Mining for Individual Consumer Models and Personalized Retail Promotions

20. PART III: OTHER AREAS OF DATA MINING

21. Chapter 12. Data Mining: Common Definitions, Applications, and Misunderstandings

22. Chapter 13. Fuzzy Sets in Data Mining and Ordinal Classification

23. Chapter 14. Developing an Associative Keywork Space of the Data Mining Literature through Latent Semantic Analysis

24. Chapter 15. A Classification Model for a Two-Class (New Product Purchase) Disrcimination Process Using Multiple-Criteria Linear Programming

25. Index

26. Back cover