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Graph-Based Representation and Reasoning

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Cover of 'Graph-Based Representation and Reasoning'

Table of Contents

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    Book Overview
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    Chapter 1 Exploring the Usefulness of Formal Concept Analysis for Robust Detection of Spatio-temporal Spike Patterns in Massively Parallel Spike Trains
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    Chapter 2 Extracting Hierarchies of Closed Partially-Ordered Patterns Using Relational Concept Analysis
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    Chapter 3 The Interpretation of Branching Time Diagrams
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    Chapter 4 Extending GWAPs for Building Profile Aware Associative Networks
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    Chapter 5 Representing Multi-scale Datalog \(+/-\) Using Hierarchical Graphs
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    Chapter 6 Transforming UML Models to and from Conceptual Graphs to Identify Missing Requirements
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    Chapter 7 SDDNet: A Semantic Network for Software Design and Development Domain Via Graph Database
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    Chapter 8 Parallel Attribute Exploration
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    Chapter 9 Graph-FCA in Practice
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    Chapter 10 A Semiotic-Conceptual Analysis of Conceptual Learning
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    Chapter 11 Organised Crime and Social Media: Detecting and Corroborating Weak Signals of Human Trafficking Online
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    Chapter 12 Distilling Conceptual Structures from Weblog Data Using Polyadic FCA
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    Chapter 13 \([MS]^2O\) – A Multi-scale and Multi-step Ontology for Transformation Processes: Application to Micro-Organisms
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    Chapter 14 Knowledge Engineering Method Based on Consensual Knowledge and Trust Computation: The MUSCKA System
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    Chapter 15 Web-Mining Defeasible Knowledge from Concessional Statements
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    Chapter 16 Visualizing Ontologies – A Literature Survey
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    Chapter 17 Key Discovery for Numerical Data: Application to Oenological Practices
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    Chapter 18 A Model for Linked Open Data Acquisition and SPARQL Query Generation
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    Chapter 19 Dealing with Incompatibilities During a Knowledge Bases Fusion Process
Attention for Chapter 8: Parallel Attribute Exploration
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Chapter title
Parallel Attribute Exploration
Chapter number 8
Book title
Graph-Based Representation and Reasoning
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-40985-6_8
Book ISBNs
978-3-31-940984-9, 978-3-31-940985-6
Authors

Francesco Kriegel

Editors

Ollivier Haemmerlé, Gem Stapleton, Catherine Faron Zucker

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Other 1 33%
Student > Master 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Mathematics 1 33%