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Uncertainty in Multi-Source Databases

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Uncertainty in Multi-Source Databases Synopsis

Database and database systems have become an essential part of everyday life, such as in banking activities, online shopping, or reservations of airline tickets and hotels. These trends place more demands on the capabilities of future database systems, which need to evolve into decision making systems based on data from multiple sources with varying reliability. In this book a model for the next generation of database systems is presented. It is demonstrated how to quantize favorable and unfavorable qualitative facts so that they can be stored and processed efficiently, as well as how to use the reliability of the contributing sources in our decision makings. The concept of a confidence index set (ciset), is introduced in order to mathematically model the above issues. A simple introduction to relational database systems is given allowing anyone with no background in database theory to appreciate the further contents of this work, especially the extended relational operations and semantics of the ciset relational database model.

About This Edition

ISBN: 9783642057052
Publication date:
Author: Premchand S Nair
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Paperback
Pagination: 188 pages
Series: Studies in Fuzziness and Soft Computing
Genres: Algorithms and data structures
Cybernetics and systems theory
Management decision making
Operational research
Maths for engineers
Mathematical theory of computation
Artificial intelligence
Information theory
Databases

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