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Demri, Stephane; Orlowska, Ewa S. - Incomplete Information: Structure, Inference, Complexity - 9783642075407 - V9783642075407
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Incomplete Information: Structure, Inference, Complexity

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Description for Incomplete Information: Structure, Inference, Complexity Paperback. Series: Monographs in Theoretical Computer Science : An Eatcs Series. Num Pages: 426 pages, biography. BIC Classification: UMB; UMX; UND; UYQ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 22. Weight in Grams: 658.
The construction of any broadly understood theory of information or infor­ mation processing system involves two major methodological processes: (1) abstraction and analysis, (2) reasoning and computing. This monograph is a realisation of these two processes in relation to the study of incompleteness of information. The paradigm we are working with is inspired by a rough-set approach to data analysis: the formalisms we develop enable the use of a non­ invasive data representation. This means that the only information which is and must be used in the process of analysis is the actual information that is to be analysed; we ... Read more

Product Details

Format
Paperback
Publication date
2010
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
426
Condition
New
Series
Monographs in Theoretical Computer Science : An Eatcs Series
Number of Pages
408
Place of Publication
Berlin, Germany
ISBN
9783642075407
SKU
V9783642075407
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Incomplete Information: Structure, Inference, Complexity
From the reviews of the first edition: "This monograph presents a systematic, exhaustive and up to date overview of formal methods and theories related to data analysis and inference using the concept of rough sets. … In a nutshell, it is an interesting book for researchers and scientists in the area of information structure." (Prabhat ... Read more

Goodreads reviews for Incomplete Information: Structure, Inference, Complexity


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