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Advances in Knowledge Discovery and Management

Volume 5

  • Book
  • © 2016

Overview

Editors:
  1. Fabrice Guillet

    1. LINA (CNRS UMR 6241), Polytech'Nantes, Nantes University, Nantes Cedex 3, France

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  2. Bruno Pinaud

    1. LaBRI (CNRS UMR 5800), Bordeaux University, Talence Cedex, France

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  3. Gilles Venturini

    1. Polytech'Tours, François Rabelais Tours University, Tours, France

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  4. Djamel Abdelkader Zighed

    1. ERIC, Lyon 2 University, Bron, France

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  • Recent research in Knowledge Discovery and Management
  • Carefully edited post-proceedings book
  • Written by a experts in the field of Knowledge Discovery and Management
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 615)

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-xviii
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  2. Applications of KDM to Real Datasets

    1. Front Matter

      Pages 1-1
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    2. A Study of the Spatio-Temporal Correlations in Mobile Calls Networks

      • Romain Guigourès, Marc Boullé, Fabrice Rossi
      Pages 3-17

    3. Co-Clustering Network-Constrained Trajectory Data

      • Mohamed K. El Mahrsi, Romain Guigourès, Fabrice Rossi, Marc Boullé
      Pages 19-32

    4. Medical Discourse and Subjectivity

      • Natalia Grabar, Pierre Chauveau-Thoumelin, Loïc Dumonet
      Pages 33-54

  3. Foundations of KDM

    1. Front Matter

      Pages 55-55
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    2. Relational Concept Analysis for Relational Data Exploration

      • Xavier Dolques, Florence Le Ber, Marianne Huchard, Clémentine Nebut
      Pages 57-77

    3. Dynamic Recommender System: Using Cluster-Based Biases to Improve the Accuracy of the Predictions

      • Modou Gueye, Talel Abdessalem, Hubert Naacke
      Pages 79-104

    4. Mining (Soft-) Skypatterns Using Constraint Programming

      • Willy Ugarte, Patrice Boizumault, Samir Loudni, Bruno Crémilleux, Alban Lepailleur
      Pages 105-136

  4. Back Matter

    Pages 137-137
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Keywords

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".

 

Editors and Affiliations

  • LINA (CNRS UMR 6241), Polytech'Nantes, Nantes University, Nantes Cedex 3, France

    Fabrice Guillet

  • LaBRI (CNRS UMR 5800), Bordeaux University, Talence Cedex, France

    Bruno Pinaud

  • Polytech'Tours, François Rabelais Tours University, Tours, France

    Gilles Venturini

  • ERIC, Lyon 2 University, Bron, France

    Djamel Abdelkader Zighed

Bibliographic Information

  • Book Title: Advances in Knowledge Discovery and Management

  • Book Subtitle: Volume 5

  • Editors: Fabrice Guillet, Bruno Pinaud, Gilles Venturini, Djamel Abdelkader Zighed

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-23751-0

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2016

  • Hardcover ISBN: 978-3-319-23750-3Published: 08 October 2015

  • Softcover ISBN: 978-3-319-37369-0Published: 23 August 2016

  • eBook ISBN: 978-3-319-23751-0Published: 25 September 2015

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XVIII, 137

  • Topics: Computational Intelligence, Artificial Intelligence, Operations Research/Decision Theory

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