Incomplete Information: Structure, Inference, Complexity (Paperback, Softcover reprint of hardcover 1st ed. 2002)

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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. Throughout, Demri studies structures with incomplete information from the logical, algebraic and computational perspective. The formalisms developed are non-invasive in that only the actual information that is needed in the process of analysis without external sources of information being required. The book is self-contained to a large degree, providing detailed derivations of most of the technical results, and is intended for researchers, lecturers and graduate students.

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Product Description

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. Throughout, Demri studies structures with incomplete information from the logical, algebraic and computational perspective. The formalisms developed are non-invasive in that only the actual information that is needed in the process of analysis without external sources of information being required. The book is self-contained to a large degree, providing detailed derivations of most of the technical results, and is intended for researchers, lecturers and graduate students.

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Product Details

General

Imprint

Springer-Verlag

Country of origin

Germany

Series

Monographs in Theoretical Computer Science. An EATCS Series

Release date

October 2010

Availability

Expected to ship within 10 - 15 working days

First published

2002

Authors

,

Dimensions

235 x 155 x 22mm (L x W x T)

Format

Paperback

Pages

408

Edition

Softcover reprint of hardcover 1st ed. 2002

ISBN-13

978-3-642-07540-7

Barcode

9783642075407

Categories

LSN

3-642-07540-1



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