Conceptual Exploration / by Bernhard Ganter, Sergei Obiedkov.

Format:

Book

Author/Creator:

Ganter, Bernhard, author.

Obiedkov, Sergei, author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Language:

English

Subjects (All):

Data mining.

Algebra.

Ordered algebraic structures.

Data Mining and Knowledge Discovery.

Order, Lattices, Ordered Algebraic Structures.

Local Subjects:

Data Mining and Knowledge Discovery.

Order, Lattices, Ordered Algebraic Structures.

Physical Description:

1 online resource (XVII, 315 pages) : 148 illustrations

Edition:

First edition 2016.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016.

System Details:

text file PDF

Summary:

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.

Contents:

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. .

Other Format:

Printed edition:

ISBN:

978-3-662-49291-8

9783662492918

Access Restriction:

Restricted for use by site license.