Supervised and Unsupervised Ensemble Methods and their Applications

  • Oleg Okun
  • Giorgio Valentini

Part of the Studies in Computational Intelligence book series (SCI, volume 126)

Table of contents

  1. Front Matter
    Pages I-XIV
  2. Ensembles of Clustering Methods and Their Applications

    1. Muna Al-Razgan, Carlotta Domeniconi, Daniel Barbará
      Pages 31-48
    2. Roberto Avogadri, Giorgio Valentini
      Pages 49-69
    3. Germain Forestier, Cédric Wemmert, Pierre Gançarski
      Pages 71-88
  3. Ensembles of Classification Methods and Their Applications

    1. Igino Corona, Giorgio Giacinto, Fabio Roli
      Pages 91-113
    2. Carlos Alonso, Óscar Prieto, Juan José Rodríguez, Aníbal Bregón
      Pages 135-151
    3. José M. Matías, Manuel Febrero, Wenceslao González-Manteiga, Juan C. Reboredo
      Pages 153-164
    4. Jesús Maudes, Juan J. Rodríguez, César García-Osorio
      Pages 165-178
    5. Springer Science+Business Media, LLC
      Pages 181-181
  4. Back Matter
    Pages 179-180

About this book

Introduction

This book was inspired by the last argument and resulted from the workshop on Supervised and Unsupervised Ensemble Methods and their Applications (briefly, SUEMA) organized on June 4, 2007 in Girona, Spain. This workshop was held in conjunction with the 3rd Iberian Conference on Pattern Recognition and Image  Analysis and was intended to encompass the progress in the ensemble applications made by the Iberian and international scholars. Despite its small format, SUEMA attracted researchers from Spain, Portugal, France, USA, Italy, and Finland, who presented interesting ideas about using the ensembles in various practical cases. Encouraged by this enthusiastic reply, we decided to publish workshop papers in an edited book, since CD proceedings were the only media distributed among the workshop participants at that time. The book includes nine chapters divided into two parts, assembling contributions to the applications of supervised and unsupervised ensembles.

The book is intended to be primarily a reference work. It could be a good complement to two excellent books on ensemble methodology – “Combining pattern classifiers: methods and algorithms” by Ludmila Kuncheva (John Wiley & Sons, 2004) and “Decomposition methodology for knowledge discovery and data mining: theory and applications” by Oded Maimon and Lior Rokach (World Scientific, 2005).

Keywords

Computational Intelligence Computer-Aided Design (CAD) Fuzzy Supervised Ensemble Methods Unsupervised Ensemble Methods calculus classification cognition decision tree image analysis neural network pattern recognition

Editors and affiliations

  • Oleg Okun
    • 1
    • 2
  • Giorgio Valentini
    • 3
  1. 1.Machine Vision GroupInfotech OuluFinland
  2. 2.Department of Electrical and Information EngineeringUniversity of OuluOuluFinland
  3. 3.Dipartimento di Scienze dell’InformazioneUniversita degli Studi di MilanoMilanoItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-78981-9
  • Copyright Information Springer Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-78980-2
  • Online ISBN 978-3-540-78981-9
  • Series Print ISSN 1860-949X
  • About this book