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Incomplete Information: Structure, Inference, Complexity /

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This monograph presents a systematic, exhaustive and up-to-date overview of formal methods and theories for data analysis and inference inspired by the concept of rough set. The book studies structures with incomplete information from the logical, algebraic and computational perspective. The formali...

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Bibliographic Details
Main Author: Demri, Stéphane P.
Corporate Author: SpringerLink (Online service)
Other Authors: Orłowska, Ewa S.
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2002.
Series:Monographs in Theoretical Computer Science An EATCS Series.
Subjects:
Computer science.
Computer software.
Information storage and retrieval systems.
Artificial intelligence.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:This monograph presents a systematic, exhaustive and up-to-date overview of formal methods and theories for data analysis and inference inspired by the concept of rough set. The book studies structures with incomplete information from the logical, algebraic and computational perspective. The formalisms developed are non-invasive in that only the actual information is needed in the process of analysis without external sources of information being required. The book is intended for researchers, lecturers and graduate students who wish to get acquainted with the rough set style approach to information systems with incomplete information.
Item Description:Electronic resource.
Physical Description:1 online resource (xviii, 408 pages)
ISBN:9783662049976 (electronic bk.)
366204997X (electronic bk.)
ISSN:1431-2654