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Advances in Knowledge Discovery and Management

Overview of attention for book
Cover of 'Advances in Knowledge Discovery and Management'

Table of Contents

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    Book Overview
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    Chapter 1 Online Learning of a Weighted Selective Naive Bayes Classifier with Non-convex Optimization
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    Chapter 2 On Making Skyline Queries Resistant to Outliers
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    Chapter 3 Adaptive Down-Sampling and Dimension Reduction in Time Elastic Kernel Machines for Efficient Recognition of Isolated Gestures
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    Chapter 4 Exact and Approximate Minimal Pattern Mining
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    Chapter 5 Comparison of Proximity Measures for a Topological Discrimination
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    Chapter 6 Comparison of Linear Modularization Criteria Using the Relational Formalism, an Approach to Easily Identify Resolution Limit
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    Chapter 7 A Novel Approach to Feature Selection Based on Quality Estimation Metrics
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    Chapter 8 Ultrametricity of Dissimilarity Spaces and Its Significance for Data Mining
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    Chapter 9 SMERA: Semantic Mixed Approach for Web Query Expansion and Reformulation
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    Chapter 10 Multi-layer Ontologies for Integrated 3D Shape Segmentation and Annotation
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    Chapter 11 Ontology Alignment Using Web Linked Ontologies as Background Knowledge
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    Chapter 12 LIAISON: reconciLIAtion of Individuals Profiles Across SOcial Networks
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    Chapter 13 Clustering of Links and Clustering of Nodes: Fusion of Knowledge in Social Networks
Attention for Chapter 11: Ontology Alignment Using Web Linked Ontologies as Background Knowledge
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mendeley
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Summary
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Chapter title
Ontology Alignment Using Web Linked Ontologies as Background Knowledge
Chapter number 11
Book title
Advances in Knowledge Discovery and Management
Published by
Springer International Publishing, November 2016
DOI 10.1007/978-3-319-45763-5_11
Book ISBNs
978-3-31-945762-8, 978-3-31-945763-5
Authors

Thomas Hecht, Patrice Buche, Juliette Dibie, Liliana Ibanescu, Cassia Trojahn dos Santos

Editors

Fabrice Guillet, Bruno Pinaud, Gilles Venturini

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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 %
France 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 20%
Student > Doctoral Student 2 20%
Student > Master 2 20%
Researcher 2 20%
Student > Ph. D. Student 1 10%
Other 1 10%
Readers by discipline Count As %
Computer Science 8 80%
Mathematics 1 10%
Agricultural and Biological Sciences 1 10%

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