Includes bibliographical references (pages 397-408) and index.
CONTENTS NOTE
Text of Note
I: Informatics and Baysesian Networks; Introduction to Informatics; Basics of Probability and Statistics; Algorithms for Bayesian Networks; Decision Trees and Influence Diagrams. II: Business Informatics: Collaborative Filtering; Targeted Advertising; Market Basket Analysis; Venture Capital Decision Making; Measuring Operational Risk; Credit Scoring; Applications to Investment Science. Appendices.
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SUMMARY OR ABSTRACT
Text of Note
Bayesian Networks are a form of probabilistic graphical models and they are used for modeling knowledge in many application areas, from medicine to image processing. They are particularly useful for business applications, ans * Unique coverage of probabilistic reasoning topics applied to business problems, including marketing, banking, operations management, and finance. * Shares insights about when and why probabilistic methods can and cannot be used effectively; * Complete review of Bayesian networks and probabilistic methods for those IT professionals new to informatics.
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Elsevier Science & Technology
Stock Number
130453:130557
OTHER EDITION IN ANOTHER MEDIUM
Title
Probabilistic methods for financial and marketing informatics.
International Standard Book Number
0123704774
TOPICAL NAME USED AS SUBJECT
Bayesian statistical decision theory-- Data processing.
Finance-- Statistical methods.
Information technology.
Marketing-- Statistical methods.
Finances-- Méthodes statistiques.
Marketing-- Méthodes statistiques.
Statistique bayésienne-- Informatique.
Technologie de l'information.
Bayesian statistical decision theory-- Data processing.