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Graph-Based Representation and Reasoning

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Graph-Based Representation and Reasoning
Springer Nature Switzerland

Table of Contents

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    Book Overview
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    Chapter 1 Functional Dependencies with Predicates: What Makes the  g 3-error Easy to Compute?
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    Chapter 2 Squared Symmetric Formal Contexts and Their Connections with Correlation Matrices
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    Chapter 3 Aggregation Functions and Extent Structure Preservation in Formal Concept Analysis
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    Chapter 4 On Pseudointents in Fuzzy Formal Concept Analysis
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    Chapter 5 Maximal Ordinal Two-Factorizations
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    Chapter 6 A Note on the Number of (Maximal) Antichains in the Lattice of Set Partitions
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    Chapter 7 Formal Concept Analysis for Trace Clustering in Process Mining
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    Chapter 8 Summarization of Massive RDF Graphs Using Identifier Classification
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    Chapter 9 Towards a Flexible and Scalable Data Stream Algorithm in FCA
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    Chapter 10 Postmodern Human-Machine Dialogues: Pedagogical Inquiry Experiments
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    Chapter 11 Conceptual Modelling with Euler $$^+$$ +  Diagrams
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    Chapter 12 Automatic Textual Explanations of Concept Lattices
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    Chapter 13 Ontology Population from French Classified Ads
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    Chapter 14 Graph Extraction for Assisting Crash Simulation Data Analysis
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    Chapter 15 Factorization of Formal Contexts from Modal Operators
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    Chapter 16 Towards Confirmation Measures to Mixed Attribute Implications
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    Chapter 17 Concept Lattices as a Reduction Tool for Fuzzy Relation Equations
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    Chapter 18 Analysis of Slovak Court Decisions by Formal Concept Analysis and Machine Learning Methods
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