Includes bibliographical references (pages 397-408) and index.

1. Probabilistic informatics -- 2. Probability and statistics -- 3. Bayesian networks -- 4. Learning Bayesian networks -- 5. Decision analysis fundamentals -- 6. Further techniques in decision analysis -- 7. Investment science -- 8. Modeling real options -- 9. Venture capital decision making -- 10. Bankruptcy prediction -- 11. Collaborative filtering -- 12. Targeted advertising. "This book covers two of the most important applications of informatics and concentrates on approaches to solving realistic business problems. This book provides applications of informatics to areas such as managerial options and decision making, investment science, marketing, and data mining, concentrating on the probabilistic and decision-theoretic approaches to informatics, emphasizing the use of Bayesian networks. Included in this book are ample examples and exercises throughout, as well as six chapters that each walk through pragmatic situation."--Jacket.