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100 1 _aGanter, Bernhard.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aFormal Concept Analysis
_h[electronic resource] :
_bMathematical Foundations /
_cby Bernhard Ganter, Rudolf Wille.
250 _a2nd ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXII, 370 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
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347 _atext file
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505 0 _aPreface to the first edition -- Preface to the second edition -- Acknowledgements -- 0. Order-theoretic foundations -- 1. Concept lattices of formal contexts -- 2. Determination and representation -- 3. Parts, factors, and bonds -- 4. Decompositions of concept lattices -- 5. Constructions of concept lattices -- 6. Properties of concept lattices -- 7. Context comparison and conceptual measurability -- 8. Contextual concept logic -- References -- Formal contexts and concept lattices in this book -- Index.
520 _aFormal Concept Analysis is a field of applied mathematics based on the math­ematization of concept and conceptual hierarchy. It thereby activates math­ematical thinking for conceptual data analysis and knowledge processing. The underlying notion of "concept" evolved early in the philosophical theory of concepts and still has effects today. In mathematics it played a special role during the emergence of mathematical logic in the 19th century. Subsequently, however, it had virtually no impact on mathematical thinking. It was not until 1979 that the topic was revisited and treated more thoroughly. Since then, Formal Concept Analysis has fully emerged, sparking a multitude of publications for which the first edition of this textbook established itself as the standard reference in the literature, with a total of 10000+ citations. This is the second edition, revised and extended, of the textbook published originally in German (1996) and translated into English (1999), giving a systematic presentation of the mathematical foundations while also focusing on their possible applications for data analysis and knowledge processing. In times of digital knowledge processing, formal methods of conceptual analysis are gaining in importance. The book makes the basic theory for such methods accessible in a compact form, and presents graphical methods for representing concept systems that have proved themselves essential in communicating knowledge. The textbook complements each chapter with further notes, references and trends, putting the work in modern context and highlighting potential directions for further research. Additionally, the book contains an entirely new chapter on contextual concept logic, including a section on description logics and relational concept analysis. As such, it should be a valuable resource for students, instructors and researchers at the crossroads of subject areas like Applied and Discrete Mathematics, Logics, Theoretical Computer Science, Knowledge Processing, Data Science, and is meant to be used both for research and in class, as a teaching resource. .
541 _fUABC ;
_cPerpetuidad
650 0 _aData structures (Computer science).
650 0 _aInformation theory.
650 0 _aInformation storage and retrieval systems.
650 0 _aInformation modeling.
650 0 _aAlgebra.
650 0 _aComputer science
_xMathematics.
650 0 _aDiscrete mathematics.
650 1 4 _aData Structures and Information Theory.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aInformation Model.
650 2 4 _aOrder, Lattices, Ordered Algebraic Structures.
650 2 4 _aDiscrete Mathematics in Computer Science.
700 1 _aWille, Rudolf.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031634215
776 0 8 _iPrinted edition:
_z9783031634239
776 0 8 _iPrinted edition:
_z9783031634246
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-63422-2
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