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Formal Concept Analysis

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Cover of 'Formal Concept Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Formal Concept Analysis as Mathematical Theory of Concepts and Concept Hierarchies
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    Chapter 2 Semiconcept and Protoconcept Algebras: The Basic Theorems
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    Chapter 3 Features of Interaction Between Formal Concept Analysis and Algebraic Geometry
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    Chapter 4 From Formal Concept Analysis to Contextual Logic
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    Chapter 5 Contextual Attribute Logic of Many-Valued Attributes
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    Chapter 6 Treating Incomplete Knowledge in Formal Concept Analysis
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    Chapter 7 States, Transitions, and Life Tracks in Temporal Concept Analysis
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    Chapter 8 Linguistic Applications of Formal Concept Analysis
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    Chapter 9 Using Concept Lattices for Text Retrieval and Mining
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    Chapter 10 Efficient Mining of Association Rules Based on Formal Concept Analysis
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    Chapter 11 Galois Connections in Data Analysis: Contributions from the Soviet Era and Modern Russian Research
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    Chapter 12 Conceptual Knowledge Processing in the Field of Economics
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    Chapter 13 A Survey of Formal Concept Analysis Support for Software Engineering Activities
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    Chapter 14 Concept Lattices in Software Analysis
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    Chapter 15 Formal Concept Analysis Used for Software Analysis and Modelling
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    Chapter 16 Formal Concept Analysis-Based Class Hierarchy Design in Object-Oriented Software Development
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    Chapter 17 The ToscanaJ Suite for Implementing Conceptual Information Systems
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Mentioned by

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3 Facebook pages
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7 Wikipedia pages

Citations

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174 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Formal Concept Analysis
Published by
Springer Science & Business Media, July 2005
DOI 10.1007/978-3-540-31881-1
ISBNs
978-3-54-027891-7, 978-3-54-031881-1
Editors

Ganter, Bernhard, Stumme, Gerd, Wille, Rudolf

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 13%
Unknown 7 88%
Readers by discipline Count As %
Computer Science 1 13%
Unknown 7 88%