Incomplete Information: Structure, Inference, Complexity / Monographs in Theoretical Computer Science. An EATCS Series (PDF)
(Sprache: Englisch)
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,...
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Produktinformationen zu „Incomplete Information: Structure, Inference, Complexity / Monographs in Theoretical Computer Science. An EATCS Series (PDF)“
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.
Bibliographische Angaben
- Autoren: Stephane P. Demri , Ewa Orlowska
- 2013, 2002, 408 Seiten, Englisch
- Verlag: Springer Berlin Heidelberg
- ISBN-10: 366204997X
- ISBN-13: 9783662049976
- Erscheinungsdatum: 18.04.2013
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 34 MB
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- Vorlesefunktion
Sprache:
Englisch
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