Synopses & Reviews
Uncertainty Management in Information Systems: From Needs to Solutions is a book about how information systems can be made to manage information permeated with uncertainty. This subject is at the intersection of two areas of knowledge: information systems is an area that concentrates on the design of practical systems that can store and retrieve information; uncertainty modeling is an area in artificial intelligence concerned with accurate representation of uncertain information and with inference and decision-making under conditions infused with uncertainty.
The first part of this book describes issues and challenges in the area of imperfect information that confront information systems, and the second part covers the principal theories for modeling imperfect information, and shows how these theories may be adapted to information systems. All chapters are original contributions and present solutions that have been applied and the experiences that have been gained from those solutions. The material has been closely edited by the book's editors for content, consistency and style.
This authoritative book is state-of-the-art coverage of `Uncertainty Management in Information Systems'.
Synopsis
Uncertainty Management in Information Systems: From Needs to Solutions is a book about how information systems can be made to manage information permeated with uncertainty. This subject is at the intersection of two areas of knowledge: information systems is an area that concentrates on the design of practical systems that can store and retrieve information; uncertainty modeling is an area in artificial intelligence concerned with accurate representation of uncertain information and with inference and decision-making under conditions infused with uncertainty. The first part of this book describes issues and challenges in the area of imperfect information that confront information systems, and the second part covers the principal theories for modeling imperfect information, and shows how these theories may be adapted to information systems. All chapters are original contributions and present solutions that have been applied and the experiences that have been gained from those solutions. The material has been closely edited by the book's editors for content, consistency and style. This authoritative book is state-of-the-art coverage of `Uncertainty Management in Information Systems'.
Table of Contents
Preface.
1. Introduction;
A. Motro. 2. Sources of Uncertainty, Imprecision, and Inconsistency in Information Systems;
A. Motro. 3. Imperfect Information in Relational Databases;
E. Zimányi, A. Pirotte. 4. Uncertainty in Intelligent Databases;
R. Demolombe. 5. Uncertain, Incomplete, and Inconsistent Data in Scientific and Statistical Databases;
S. Kwan, et al. 6. Knowledge Discovery and Acquisition From Imperfect Information;
G. Piatetsky-Shapiro. 7. Uncertainty in Information Retrieval Systems;
H.R. Turtle, W.B. Croft. 8. Imperfect Information: Imprecision and Uncertainty;
P. Smets. 9. Probabilistic and Bayesian Representations of Uncertainty in Information Systems: A Pragmatic Introduction;
M. Henrion, et al. 10. An Introduction to the Fuzzy Set and Possibility Theory-Based Treatment of Flexible Queries and Uncertain or Imprecise Databases;
P. Bosc, H. Prade. 11. Logical Handling of Inconsistent and Default Information;
P. Besnard, et al. 12. The Transferable Belief Model for Belief Representation;
P. Smets, R. Kruse. 13. Approximate Reasoning Systems: Handling Uncertainty and Imprecision in Information Systems;
P.P. Bonissone. 14. On the Classification of Uncertainty Techniques in Relation to the Application Needs;
E.H. Mamdani. 15. A Bibliography on Uncertainty Management in Information Systems;
C.E. Dyreson. Index.