International Symposium on Methodologies for Intelligent Systems

Foundations of Intelligent Systems

22nd International Symposium, ISMIS 2015, Lyon, France, October 21-23, 2015, Proceedings

  • Floriana Esposito
  • Olivier Pivert
  • Mohand-Said Hacid
  • Zbigniew W. Rás
  • Stefano Ferilli
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9384)

Table of contents

  1. Front Matter
    Pages I-XXIII
  2. Data Mining Methods

    1. Front Matter
      Pages 1-1
    2. Jan Rauch, Milan Šimůnek
      Pages 3-8
    3. Corrado Loglisci, Bachir Balech, Donato Malerba
      Pages 9-18
  3. Databases, Information Retrieval, Recommender Systems

    1. Front Matter
      Pages 29-29
    2. Fatma Ezzahra Bousnina, Mohamed Anis Bach Tobji, Mouna Chebbah, Ludovic Liétard, Boutheina Ben Yaghlane
      Pages 31-40
    3. Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Elio Masciari, Luigi Pontieri, Chiara Pulice
      Pages 52-58
    4. Frédéric Rayar, Sabine Barrat, Fatma Bouali, Gilles Venturini
      Pages 59-68
    5. Nicolas Hug, Henri Prade, Gilles Richard
      Pages 69-78
    6. Jieyan Kuang, Zbigniew W. Raś, Albert Daniel
      Pages 79-87
    7. Jalel Akaichi, Ludovic Liétard, Daniel Rocacher, Olfa Slama
      Pages 88-97
  4. Machine Learning

    1. Front Matter
      Pages 99-99
    2. Jianhua Chen, Seth Burleigh, Neeharika Chennupati, Bharath K. Gudapati
      Pages 101-111
    3. Stefano Ferilli, Giuseppe Fatiguso
      Pages 112-121
    4. Nicola Di Mauro, Antonio Vergari, Teresa M. A. Basile
      Pages 122-132
    5. Asma Trabelsi, Zied Elouedi, Eric Lefèvre
      Pages 133-138
    6. Giuseppe Rizzo, Claudia d’Amato, Nicola Fanizzi
      Pages 139-149

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 22nd International Symposium on Methodologies for Intelligent Systems, ISMIS 2015, held in Lyon, France, in October 2015.

The 31 revised full papers presented together with 18 short papers were carefully reviewed and selected from 67 submissions. The papers are organized in topical sections on data mining methods; databases, information retrieval, recommender systems; machine learning; knowledge representation, semantic web; emotion recognition, music information retrieval; network analysis, multi-agent systems; applications; planning, classification; and textual data analysis and mining.

Keywords

Data Mining Information Retrieval Machine Learning Network Analysis Semantic Web Applications Bayesian Networks Classification Clustering Databases Decision Support Systems Emotion Recognition Knowledge Representation Multi-agent Systems Music Information Retrieval Ontology Planning Recommender Systems Textual Data Analysis and Mining Visualization

Editors and affiliations

  • Floriana Esposito
    • 1
  • Olivier Pivert
    • 2
  • Mohand-Said Hacid
    • 3
  • Zbigniew W. Rás
    • 4
  • Stefano Ferilli
    • 5
  1. 1.Computer ScienceUniversity of BariBariItaly
  2. 2.EnssatLannionFrance
  3. 3.LISI-UFR d'InformatiqueUniversité Claude Bernard Lyon 1Villeurbanne CedexFrance
  4. 4.University of North CarolinaCHARLOTTEUSA
  5. 5.Dipartimento di InformaticaUniversità degli Studi di BariBariItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-25252-0
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-25251-3
  • Online ISBN 978-3-319-25252-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book