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Conceptual exploration
~
Ganter, Bernhard.
Conceptual exploration
Record Type:
Electronic resources : Monograph/item
Title/Author:
Conceptual explorationby Bernhard Ganter, Sergei Obiedkov.
Author:
Ganter, Bernhard.
other author:
Obiedkov, Sergei.
Published:
Berlin, Heidelberg :Springer Berlin Heidelberg :2016.
Description:
xvii, 315 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Attribute focusing (Data mining)
Online resource:
http://dx.doi.org/10.1007/978-3-662-49291-8
ISBN:
9783662492918$q(electronic bk.)
Conceptual exploration
Ganter, Bernhard.
Conceptual exploration
[electronic resource] /by Bernhard Ganter, Sergei Obiedkov. - Berlin, Heidelberg :Springer Berlin Heidelberg :2016. - xvii, 315 p. :ill., digital ;24 cm.
What to expect from this book -- Concept lattices -- An algorithm for closure systems -- The canonical basis -- Attribute exploration -- Non-implicational background knowledge -- Enhancing the expressive power -- Relational Exploration -- Concept exploration.
This is the first textbook on attribute exploration, its theory, its algorithms for applications, and some of its many possible generalizations. Attribute exploration is useful for acquiring structured knowledge through an interactive process, by asking queries to an expert. Generalizations that handle incomplete, faulty, or imprecise data are discussed, but the focus lies on knowledge extraction from a reliable information source. The method is based on Formal Concept Analysis, a mathematical theory of concepts and concept hierarchies, and uses its expressive diagrams. The presentation is self-contained. It provides an introduction to Formal Concept Analysis with emphasis on its ability to derive algebraic structures from qualitative data, which can be represented in meaningful and precise graphics.
ISBN: 9783662492918$q(electronic bk.)
Standard No.: 10.1007/978-3-662-49291-8doiSubjects--Topical Terms:
747383
Attribute focusing (Data mining)
LC Class. No.: QA76.9.D343
Dewey Class. No.: 006.312
Conceptual exploration
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Conceptual exploration
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[electronic resource] /
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by Bernhard Ganter, Sergei Obiedkov.
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ill., digital ;
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24 cm.
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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.
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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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Attribute focusing (Data mining)
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Concept mapping.
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Computer Science.
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Data Mining and Knowledge Discovery.
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Order, Lattices, Ordered Algebraic Structures.
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Obiedkov, Sergei.
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Computer Science (Springer-11645)
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EB QA76.9.D343 G211 2016
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http://dx.doi.org/10.1007/978-3-662-49291-8
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