Conceptual exploration

Conceptual exploration

by Ganter, Bernhard

Type Book
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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 …

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Title Statements

  • Full title :Conceptual exploration / Bernhard Ganter, Sergei Obiedkov.

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.

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Edition Statements

  • Publication Date:2016.

Publication Statements

  • Publisher(s):Springer
  • Place of Publication:Berlin
  • Language:eng
  • Publication Date:2016.

The Physical Object

  • Description:1 online resource (xvii, 315 pages) : : illustrations

Edition Identifiers

  • ISBN:9783662492918, 3662492911, 3662492903, 9783662492901
  • DOI:10.1007/978-3-662-49291-8
  • oclc:ocn950884546
  • LC Classification:QA76.9.D343
  • Dewey Decimal:006.3/12

Table of 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.

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