Conceptual Exploration
Autor Bernhard Ganter, Sergei Obiedkoven Limba Engleză Hardback – 6 iun 2016
This is the first textbook on attribute exploration, its theory, its algorithms for
applications, and some of its many possible generalizations. Attribute exploration
is useful for acquiring structured knowledge through an interactive process, by
asking queries to an expert. Generalizations that handle incomplete, faulty, or
imprecise data are discussed, but the focus lies on knowledge extraction from a
reliable information source.
The method is based on Formal Concept Analysis, a mathematical theory of
concepts and concept hierarchies, and uses its expressive diagrams. The presentation
is self-contained. It provides an introduction to Formal Concept Analysis
with emphasis on its ability to derive algebraic structures from qualitative data,
which can be represented in meaningful and precise graphics.
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Specificații
ISBN-13: 9783662492901
ISBN-10: 3662492903
Pagini: 315
Ilustrații: XVII, 315 p. 148 illus.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.64 kg
Ediția:1st ed. 2016
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3662492903
Pagini: 315
Ilustrații: XVII, 315 p. 148 illus.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.64 kg
Ediția:1st ed. 2016
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany
Cuprins
What to expect from this book.- Concept lattices.- An algorithm for closure systems.- The canonical basis.- Attribute exploration.- Non-implicational background knowledge.- Enhancing the expressive power.- Relational Exploration.- Concept exploration.
Recenzii
“The book reads smoothly, emphasizes examples over theorems, and has pictures (mainly of concept lattices) and tables galore. … I thus recommend it to all researchers concerned with FCA or query learning.” (Marcel Wild, Mathematical Reviews, May, 2017)
Notă biografică
Bernhard Ganter is emeritus professor of mathematics at Technische Universität Dresden, Germany. His main research field is Formal Concept Analysis.
Sergei Obiedkov is an associate professor at the National Research University Higher School of Economics, Moscow. His research covers topics in data analysis and artificial intelligence, including logical and algorithmic aspects.
Sergei Obiedkov is an associate professor at the National Research University Higher School of Economics, Moscow. His research covers topics in data analysis and artificial intelligence, including logical and algorithmic aspects.
Textul de pe ultima copertă
This is the first textbook on attribute exploration, its theory, its algorithms for
applications, and some of its many possible generalizations. Attribute exploration
is useful for acquiring structured knowledge through an interactive process, by
asking queries to an expert. Generalizations that handle incomplete, faulty, or
imprecise data are discussed, but the focus lies on knowledge extraction from a
reliable information source.
The method is based on Formal Concept Analysis, a mathematical theory of
concepts and concept hierarchies, and uses its expressive diagrams. The presentation
is self-contained. It provides an introduction to Formal Concept Analysiswith emphasis on its ability to derive algebraic structures from qualitative data,
which can be represented in meaningful and precise graphics.
Caracteristici
Self contained, with numerous examples Research, but nevertheless practical A broad methodology of conceptual knowledge acquisition