Advances in Knowledge Discovery and Management

1. Front Matter

   Pages i-xxi

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2. Mining Data with Optimization

   1. Front Matter

      Pages 1-1

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   2. Online Learning of a Weighted Selective Naive Bayes Classifier with Non-convex Optimization

      • Carine Hue, Marc Boullé, Vincent Lemaire

      Pages 3-17

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   3. On Making Skyline Queries Resistant to Outliers

      • Hélène Jaudoin, Pierre Nerzic, Olivier Pivert, Daniel Rocacher

      Pages 19-38

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   4. Adaptive Down-Sampling and Dimension Reduction in Time Elastic Kernel Machines for Efficient Recognition of Isolated Gestures

      • Pierre-Francois Marteau, Sylvie Gibet, Clément Reverdy

      Pages 39-59

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   5. Exact and Approximate Minimal Pattern Mining

      • Arnaud Soulet, François Rioult

      Pages 61-81

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3. Quality Measures, Dissimilarities and Ultrametrics

   1. Front Matter

      Pages 83-83

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   2. Comparison of Proximity Measures for a Topological Discrimination

      • Rafik Abdesselam, Fatima-Zahra Aazi

      Pages 85-99

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   3. Comparison of Linear Modularization Criteria Using the Relational Formalism, an Approach to Easily Identify Resolution Limit

      • Patricia Conde-Céspedes, Jean-François Marcotorchino, Emmanuel Viennet

      Pages 101-120

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   4. A Novel Approach to Feature Selection Based on Quality Estimation Metrics

      • Jean-Charles Lamirel, Pascal Cuxac, Kafil Hajlaoui

      Pages 121-140

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   5. Ultrametricity of Dissimilarity Spaces and Its Significance for Data Mining

      • Dan A. Simovici, Rosanne Vetro, Kaixun Hua

      Pages 141-155

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4. Semantics, Ontologies, and Social Networks

   1. Front Matter

      Pages 157-157

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   2. SMERA: Semantic Mixed Approach for Web Query Expansion and Reformulation

      • Bissan Audeh, Philippe Beaune, Michel Beigbeder

      Pages 159-180

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   3. Multi-layer Ontologies for Integrated 3D Shape Segmentation and Annotation

      • Thomas Dietenbeck, Fakhri Torkhani, Ahlem Othmani, Marco Attene, Jean-Marie Favreau

      Pages 181-206

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   4. Ontology Alignment Using Web Linked Ontologies as Background Knowledge

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

      Pages 207-227

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   5. LIAISON: reconciLIAtion of Individuals Profiles Across SOcial Networks

      • Gianluca Quercini, Nacéra Bennacer, Mohammad Ghufran, Coriane Nana Jipmo

      Pages 229-253

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   6. Clustering of Links and Clustering of Nodes: Fusion of Knowledge in Social Networks

      • Erick Stattner, Martine Collard

      Pages 255-276

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5. Back Matter

   Pages 277-278

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This book presents a collection of representative and novel work in the field of data mining, knowledge discovery, clustering and classification, based on expanded and reworked versions of a selection of the best papers originally presented in French at the EGC 2014 and EGC 2015 conferences held in Rennes (France) in January 2014 and Luxembourg in January 2015. The book is in three parts: The first four chapters discuss optimization considerations in data mining. The second part explores specific quality measures, dissimilarities and ultrametrics. The final chapters focus on semantics, ontologies and social networks.


Written for PhD and MSc students, as well as researchers working in the field, it addresses both theoretical and practical aspects of knowledge discovery and management.

• Computational Intelligence
• Intelligent Systems
• Knowledge Discovery
• Management
• AKDM

• Polytech Nantes, University of Nantes, Nantes Cedex 3, France

  Fabrice Guillet

• University of Bordeaux, Talence Cedex, France

  Bruno Pinaud

• Polytechnics Graduate School, University of Tours, Tours, France

  Gilles Venturini

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