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Conceptual exploration

Ganter, Bernhard.

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Conceptual exploration

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Conceptual exploration/ by Bernhard Ganter, Sergei Obiedkov.
作者:	Ganter, Bernhard.
其他作者:	Obiedkov, Sergei.
出版者:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2016.,
面頁冊數:	xvii, 315 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Attribute focusing (Data mining) -
電子資源:	http://dx.doi.org/10.1007/978-3-662-49291-8
ISBN:	9783662492918

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

Standard No.: 10.1007/978-3-662-49291-8doiSubjects--Topical Terms:

2194851
Attribute focusing (Data mining)

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Conceptual exploration
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505 0 $a 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.
520 $a 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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