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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 Contextual Implications between Attributes and Some Representation Properties for Finite Lattices
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    Chapter 2 Mathematical Morphology Operators over Concept Lattices
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    Chapter 3 Dismantlable Lattices in the Mirror
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    Chapter 4 Towards an Error-Tolerant Construction of $\mathcal{EL}^\bot$ -Ontologies from Data Using Formal Concept Analysis
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    Chapter 5 Using Pattern Structures for Analyzing Ontology-Based Annotations of Biomedical Data
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    Chapter 6 Formal Concept Analysis via Atomic Priming
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    Chapter 7 Applications of Ordinal Factor Analysis
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    Chapter 8 Tri-ordinal Factor Analysis
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    Chapter 9 Formal $\mathcal{F}$ -contexts and Their Induced Implication Rule Systems
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    Chapter 10 User-Friendly Fuzzy FCA
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    Chapter 11 Formal Concept Analysis
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    Chapter 12 Modeling Ceteris Paribus Preferences in Formal Concept Analysis
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    Chapter 13 Concept-Forming Operators on Multilattices
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    Chapter 14 Using FCA to Analyse How Students Learn to Program
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    Chapter 15 Soundness and Completeness of Relational Concept Analysis
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    Chapter 16 Contextual Uniformities
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    Chapter 17 Fitting Pattern Structures to Knowledge Discovery in Big Data
Attention for Chapter 4: Towards an Error-Tolerant Construction of $\mathcal{EL}^\bot$ -Ontologies from Data Using Formal Concept Analysis
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Chapter title
Towards an Error-Tolerant Construction of $\mathcal{EL}^\bot$ -Ontologies from Data Using Formal Concept Analysis
Chapter number 4
Book title
Formal Concept Analysis
Published by
Springer, Berlin, Heidelberg, May 2013
DOI 10.1007/978-3-642-38317-5_4
Book ISBNs
978-3-64-238316-8, 978-3-64-238317-5
Authors

Daniel Borchmann

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