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 ».
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