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© 2015

Strengthening Links Between Data Analysis and Soft Computing

  • Przemyslaw Grzegorzewski
  • Marek Gagolewski
  • Olgierd Hryniewicz
  • María Ángeles Gil

Benefits

  • Latest research on Data Analysis and Soft Computing

  • Results of the 7th International Conference on Soft Methods in Probability and Statistics (SMPS'2014) held in Warsaw (Poland) by September 22-24, 2014

  • Gives a comprehensive overview of current research into the fusion of soft computing methods with probability and statistics

Book

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 315)

Table of contents

  1. Front Matter
    Pages 1-12
  2. Soft Methods in Uncertainty Modeling and Processing

    1. Front Matter
      Pages 1-1
    2. Didier Dubois, Hélène Fargier, Romain Guillaume, Caroline Thierry
      Pages 3-11
    3. Ignacio Montes, Enrique Miranda, Susana Montes
      Pages 21-28
    4. Ondřej Pavlačka, Karel Hron
      Pages 29-36
    5. Luca Anzilli, Gisella Facchinetti, Tommaso Pirotti
      Pages 37-45
    6. Ignacio Montes, Enrique Miranda, Susana Montes
      Pages 47-54
    7. Paweł P. Ładyżyński, Przemysław Grzegorzewski
      Pages 55-62
    8. Beloslav Riečan, Alžbeta Michalíková
      Pages 63-70
    9. Giulianella Coletti, Davide Petturiti, Barbara Vantaggi
      Pages 71-78
    10. Martin Bacovský
      Pages 97-103
  3. Soft Methods in Statistics

    1. Front Matter
      Pages 113-113
    2. María Asunción Lubiano, Sara de la Rosa de Sáa, Beatriz Sinova, María Ángeles Gil
      Pages 123-131
    3. Sara de la Rosa de Sáa, Peter Filzmoser, María Ángeles Gil, María Asunción Lubiano
      Pages 133-141
    4. Beatriz Sinova, Sonia Pérez-Fernández, Manuel Montenegro
      Pages 143-150

About this book

Introduction

This book gathers contributions presented at the 7th International Conference on Soft Methods in Probability and Statistics SMPS 2014, held in Warsaw (Poland) on September 22-24, 2014. Its aim is to present recent results illustrating new trends in intelligent data analysis. It gives a comprehensive overview of current research into the fusion of soft computing methods with probability and statistics.
Synergies of both fields might improve intelligent data analysis methods in terms of robustness to noise and applicability to larger datasets, while being able to efficiently obtain understandable solutions of real-world problems.

Keywords

Computational Intelligence Intelligent Data Analysis SMPS Soft Computing Soft Methods Soft Methods in Probability and Statistics

Editors and affiliations

  • Przemyslaw Grzegorzewski
    • 1
  • Marek Gagolewski
    • 2
  • Olgierd Hryniewicz
    • 3
  • María Ángeles Gil
    • 4
  1. 1.Polish Academy of Sciences, Faculty of Mathematics and Information SciencesSystems Research Institute and Warsaw University of TechnologyWarsawPoland
  2. 2.Polish Academy of Sciences, Faculty of Mathematics and Information SciencesSystems Research Institute and Warsaw University of TechnologyWarsawPoland
  3. 3.Polish Academy of Sciences Systems Research InstituteWarsawPoland
  4. 4.Departamento de Estadistica e I.O. y D.M.University of OviedoOviedoSpain

Bibliographic information

  • Book Title Strengthening Links Between Data Analysis and Soft Computing
  • Editors Przemyslaw Grzegorzewski
    Marek Gagolewski
    Olgierd Hryniewicz
    María Ángeles Gil
  • Series Title Advances in Intelligent Systems and Computing
  • Series Abbreviated Title Advs in Intelligent Syst., Computing
  • DOI https://doi.org/10.1007/978-3-319-10765-3
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Softcover ISBN 978-3-319-10764-6
  • eBook ISBN 978-3-319-10765-3
  • Series ISSN 2194-5357
  • Series E-ISSN 2194-5365
  • Edition Number 1
  • Number of Pages XII, 294
  • Number of Illustrations 39 b/w illustrations, 3 illustrations in colour
  • Topics Computational Intelligence
    Artificial Intelligence
  • Buy this book on publisher's site
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