Catégorie : Publications

Fabrice Guillet, Bruno Pinaud, Gilles Venturini and Djamel Abdelkader Zighed (eds),
« Advances In Knowledge Discovery and Management, Volume 6 »,
Series: Studies in Computational Intelligence,
Vol. 665, 2017, Springer.
ISBN: 978-3-319-45762-8, DOI: 10.1007/978-3-319-45763-5.

About this book

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.

Table des matières

Part I – Mining Data with Optimization

• Carine Hue, Marc Boullé, Vincent Lemaire:
  Online Learning of a Weighted Selective Naive Bayes Classifier with Non-convex Optimization. 3-17
• Hélène Jaudoin, Pierre Nerzic, Olivier Pivert, Daniel Rocacher:
  On Making Skyline Queries Resistant to Outliers. 19-38
• Pierre-Francois Marteau, Sylvie Gibet, Clément Reverdy:
  Adaptive Down-Sampling and Dimension Reduction in Time Elastic Kernel Machines for Efficient Recognition of Isolated Gestures. 39-59
• Arnaud Soulet, François Rioult:
  Exact and Approximate Minimal Pattern Mining. 61-81

Part II — Quality Measures, Dissimilarities and Ultrametrics

• Rafik Abdesselam, Fatima-Zahra Aazi:
  Comparison of Proximity Measures for a Topological Discrimination. 85-99
• Patricia Conde-Céspedes, Jean-François Marcotorchino, Emmanuel Viennet:
  Comparison of Linear Modularization Criteria Using the Relational Formalism, an Approach to Easily Identify Resolution Limit. 101-120
• Jean-Charles Lamirel, Pascal Cuxac, Kafil Hajlaoui:
  A Novel Approach to Feature Selection Based on Quality Estimation Metrics. 121-140
• Dan A. Simovici, Rosanne Vetro, Kaixun Hua:
  Ultrametricity of Dissimilarity Spaces and Its Significance for Data Mining. 141-155

Part III — Semantics, Ontologies, and Social Networks

• Bissan Audeh, Philippe Beaune, Michel Beigbeder:
  SMERA: Semantic Mixed Approach for Web Query Expansion and Reformulation. 159-180
• Thomas Dietenbeck, Fakhri Torkhani, Ahlem Othmani, Marco Attene, Jean-Marie Favreau:
  Multi-layer Ontologies for Integrated 3D Shape Segmentation and Annotation. 181-206
• Thomas Hecht, Patrice Buche, Juliette Dibie, Liliana Ibanescu, Cassia Trojahn dos Santos:
  Ontology Alignment Using Web Linked Ontologies as Background Knowledge. 207-227
• Gianluca Quercini, Nacéra Bennacer, Mohammad Ghufran, Coriane Nana Jipmo:
  LIAISON: reconciLIAtion of Individuals Profiles Across SOcial Networks. 229-253
• Erick Stattner, Martine Collard:
  Clustering of Links and Clustering of Nodes: Fusion of Knowledge in Social Networks. 255-276

Fabrice Guillet, Bruno Pinaud, Gilles Venturini and Djamel Abdelkader Zighed (eds),
« Advances In Knowledge Discovery and Management, Volume 5 »,
Series: Studies in Computational Intelligence,
Vol. 615, 2016, Springer.
ISBN: 978-3-319-23751-0, DOI: 10.1007/978-3-319-23751-0.

About this book

This book is a collection of representative and novel works done in Data Mining, Knowledge Discovery, Clustering and Classification that were originally presented in French at the EGC’2013 (Toulouse, France, January 2013) and EGC’2014 Conferences (Rennes, France, January 2014). These conferences were respectively the 13th and 14th editions of this event, which takes place each year and which is now successful and well-known in the French-speaking community. This community was structured in 2003 by the foundation of the French-speaking EGC society (EGC in French stands for « Extraction et Gestion des Connaissances » and means « Knowledge Discovery and Management », or KDM).

This book is aiming at all researchers interested in these fields, including PhD or MSc students, and researchers from public or private laboratories. It concerns both theoretical and practical aspects of KDM. The book is structured in two parts called « Applications of KDM to real datasets » and « Foundations of KDM ».

Keywords:

Knowledge Discovery, Knowledge Management, Data Mining, Knowledge Engineering, Applications

Table des matières

Part I – Applications of KDM to Real Datasets

• Romain Guigourès, Marc Boullé and Fabrice Rossi:
  A Study of the Spatio-Temporal Correlations in Mobile Calls Networks. 3-18
• Mohamed K. El Mahrsi, Romain Guigourès, Fabrice Rossi
  and Marc Boullé:
  Co-Clustering Network-Constrained Trajectory Data. 19-32
• Natalia Grabar, Pierre Chauveau-Thoumelin and Loïc Dumonet:
  Medical Discourse and Subjectivity. 33-54

Part II — Foundations of KDM

• Xavier Dolques, Florence Le Ber, Marianne Huchard
  and Clémentine Nebut:
  Relational Concept Analysis for Relational Data Exploration. 57-78
• Modou Gueye, Talel Abdessalem and Hubert Naacke:
  Dynamic Recommender System: Using Cluster-Based Biases to Improve the Accuracy of the Predictions. 79-104
• Willy Ugarte, Patrice Boizumault, Samir Loudni, Bruno Crémilleux
  and Alban Lepailleur:
  Mining (Soft-) Skypatterns Using Constraint Programming. 105-136