1. Edition - March 2008
83.90 Euro
2008. 446 Pages, Hardcover
ISBN-10: 0-470-06030-1
ISBN-13: 978-0-470-06030-8 - John Wiley & Sons






Sample Chapter

Short description
The first book to focus on BBNs practical applications, Bayesian Belief Networks: A Practical Guide to Applications defines and introduces BBNs, demonstrating how they can be used to forecast, explain, make decisions, and represent knowledge in the context of complex and uncertain systems. The book then provides step-by-step guidelines, specifying model structure and probabilities, tips, cautions and caveats, and model validation. The largest part of the text consists of 20 application chapters demonstrating each type of application in each field in which BBNs are used. The book concludes with a review of the applications, a summary of the lessons learned, and a discussion of the future of the area.

From the contents
Foreword.

Preface.

1 Introduction to Bayesian networks.

2 Medical diagnosis.

3 Clinical decision support.

4 Complex genetic models.

5 Crime risk factors analysis.

6 Spatial dynamics in the coastal region.

7 Inference problems in forensic science.

8 Conservation of marbled murrelets in British Columbia.

9 Classifiers for modeling of mineral potential.

10 Student modeling.

11 Sensor validation.

12 An information retrieval system.

13 Reliability analysis of systems.

14 Terrorism risk management.

15 Credit-rating of companies..

16 Classification of Chilean wines.

17 Pavement and bridge management.

18 Complex industrial process operation.

19 Probability of default for large corporates.

20 Risk management in robotics.

21 Enhancing Human Cognition.

22 Conclusion.

Bibliography.

Index.