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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 Usability Issues in Description Logic Knowledge Base Completion
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    Chapter 2 Concept Lattice Orbifolds – First Steps
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    Chapter 3 The Advent of Formal Diagrammatic Reasoning Systems
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    Chapter 4 The Logic of Learning
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    Chapter 5 What Can Formal Concept Analysis Do for Data Warehouses?
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    Chapter 6 Time and Logic: A.N. Prior’s Formal Analysis of Temporal Concepts
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    Chapter 7 Can Ontology Inform Ontologies?
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    Chapter 8 Factor Analysis of Incidence Data via Novel Decomposition of Matrices
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    Chapter 9 A Unified Hierarchy for Functional Dependencies, Conditional Functional Dependencies and Association Rules
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    Chapter 10 Robust Elements in Rough Set Abstractions
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    Chapter 11 Some Computational Problems Related to Pseudo-intents
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    Chapter 12 Exploring Finite Models in the Description Logic ${\mathcal {EL}}_{\rm gfp}$
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    Chapter 13 Yet a Faster Algorithm for Building the Hasse Diagram of a Concept Lattice
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    Chapter 14 Context Graphs — Representing Formal Concepts by Connected Subgraphs
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    Chapter 15 Handling Large Formal Context Using BDD – Perspectives and Limitations
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    Chapter 16 A Novel Approach to Cell Formation
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    Chapter 17 Identifying Ecological Traits: A Concrete FCA-Based Approach
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    Chapter 18 A Concept Lattice-Based Kernel for SVM Text Classification
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    Chapter 19 Two FCA-Based Methods for Mining Gene Expression Data
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    Chapter 20 Ontology-Based Formal Concept Differences Analysis in Radiology Report Impact by the Adoption of PACS
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    Chapter 21 Revisiting the Potentialities of a Mechanical Thesaurus
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    Chapter 22 FCA-Based Two Dimensional Pattern Matching
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    Chapter 23 RESTRUCTURING LATTICE THEORY: AN APPROACH BASED ON HIERARCHIES OF CONCEPTS
Attention for Chapter 3: The Advent of Formal Diagrammatic Reasoning Systems
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Chapter title
The Advent of Formal Diagrammatic Reasoning Systems
Chapter number 3
Book title
Formal Concept Analysis
Published by
Springer, Berlin, Heidelberg, May 2009
DOI 10.1007/978-3-642-01815-2_3
Book ISBNs
978-3-64-201814-5, 978-3-64-201815-2
Authors

Frithjof Dau, Dau, Frithjof

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 1 10%
Ireland 1 10%
Germany 1 10%
Unknown 7 70%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Researcher 2 20%
Professor > Associate Professor 2 20%
Student > Master 1 10%
Student > Doctoral Student 1 10%
Other 1 10%
Readers by discipline Count As %
Computer Science 6 60%
Mathematics 2 20%
Linguistics 1 10%
Design 1 10%