Uncertainty Management in Information Systems: From Needs to Solutions
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Overview
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'.
Booknews
Concerned not with managing uncertainty itself, but with information systems that can manage information permeated with uncertainty. Combines perspectives of information systems, which concentrates on systems that can store and retrieve information; with uncertainty modeling, an area of artificial intelligence concerned with the accurate representation of uncertain information and with inference and decision making under uncertain conditions. Considers sources of uncertainty, imperfect information in relational databases, inconsistent data in scientific and statistical databases, knowledge discovery and acquisition, probabilistic and Bayesian representations of uncertainty, the transferable belief model, and other topics. Annotation c. by Book News, Inc., Portland, Or.