Incomplete Information: Structure, Inference, Complexity (Monographs in Theoretical Computer Science. An EATCS Series)
Demri, Stephane P. P.; Orlowska, Ewa
ISBN 10: 3642075401 ISBN 13: 9783642075407
Published by Springer, 2010
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This is the first monograph devoted to a theory of information systems with incomplete information inspired by the concept of rough set. The book is self-contained to a large degree, providing detailed derivations of most of the technical results.
Review:
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 Kumar Mahanti, Zentralblatt MATH, Vol. 1016, 2003)
"The present monograph gives a systematic presentation of the theory related to the ... relation-based knowledge representation and the underlying logics and algebras. ... The structure of this book is clear. ... The book is written to be self-contained ... . The references section of this book is excellent ... . The book can be recommended to researchers and graduate students interested in rough-set-style reasoning and knowledge representation. Also for lecturers this provides a great source ... ." (Jouni Järvinen, Studia Logica, Vol. 89 (3), 2006)
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Title: Incomplete Information: Structure, Inference...
Publisher: Springer
Publication Date: 2010
Binding: Soft cover
Condition: New
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Incomplete Information: Structure, Inference, Complexity
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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, . Seller Inventory # 5046607
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Incomplete Information: Structure, Inference, Complexity
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Taschenbuch. Condition: Neu. Incomplete Information: Structure, Inference, Complexity | Ewa Orlowska (u. a.) | Taschenbuch | xviii | Englisch | 2010 | Springer | EAN 9783642075407 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 107123673
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Incomplete Information: Structure, Inference, Complexity (Monographs in Theoretical Computer Science. An EATCS Series)
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Incomplete Information: Structure, Inference, Complexity (Monographs in Theoretical Computer Science. An EATCS Series)
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Incomplete Information: Structure, Inference, Complexity
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ISBN 10: 3642075401
ISBN 13: 9783642075407
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 do not require any additional sources of information. An abstraction is formed in the process of conception, design, and develop ment of structures. Then analysis leads to a selection of a class of structures. In this book we delineate a class of informational structures that enable us to represent both numerical and non-numerical information and we analyse var ious manifestations of its incompleteness. We discuss several general types of incompleteness of information which are grounded in a rough-set-style view of imprecision and uncertainty. Manifestations of these types of incompleteness in information systems are investigated. Seller Inventory # 9783642075407
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Incomplete Information: Structure, Inference, Complexity
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ISBN 10: 3642075401
ISBN 13: 9783642075407
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 do not require any additional sources of information. An abstraction is formed in the process of conception, design, and develop ment of structures. Then analysis leads to a selection of a class of structures. In this book we delineate a class of informational structures that enable us to represent both numerical and non-numerical information and we analyse var ious manifestations of its incompleteness. We discuss several general types of incompleteness of information which are grounded in a rough-set-style view of imprecision and uncertainty. Manifestations of these types of incompleteness in information systems are investigated. 432 pp. Englisch. Seller Inventory # 9783642075407
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Incomplete Information: Structure, Inference, Complexity
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Springer Berlin Heidelberg, Springer Berlin Heidelberg Okt 2010, 2010
ISBN 10: 3642075401
ISBN 13: 9783642075407
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 do not require any additional sources of information. An abstraction is formed in the process of conception, design, and develop ment of structures. Then analysis leads to a selection of a class of structures. In this book we delineate a class of informational structures that enable us to represent both numerical and non-numerical information and we analyse var ious manifestations of its incompleteness. We discuss several general types of incompleteness of information which are grounded in a rough-set-style view of imprecision and uncertainty. Manifestations of these types of incompleteness in information systems are investigated.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 432 pp. Englisch. Seller Inventory # 9783642075407
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Incomplete Information
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Incomplete Information
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Condition: New. Print on Demand pp. 428 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam. Seller Inventory # 5704684
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Incomplete Information: Structure, Inference, Complexity (Monographs in Theoretical Computer Science. An EATCS Series)
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