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

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Monographs in Theoretical Computer Science. An EATCS Series
Release date:	October 2010
First published:	2002
Authors:	Stephane P. Demri • Ewa Orlowska
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
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-642-07540-1
Barcode:	9783642075407

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