Strengthening Links Between Data Analysis and Soft Computing

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

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
    5. Przemysław Grzegorzewski, Hubert Szymanowski
      Pages 151-158
    6. Alexander Lepskiy
      Pages 159-166
  4. Soft Methods in Data Analysis

    1. Front Matter
      Pages 183-183
    2. Marta García Bárzana, Ana Colubi, Erricos John Kontoghiorghes
      Pages 185-191
    3. Angela Blanco-Fernández, T. Warren Liao
      Pages 193-200
    4. Fabrizio Durante, Roberta Pappadà
      Pages 209-216
    5. Fabrizio Durante, Enrico Foscolo, Piotr Jaworski, Hao Wang
      Pages 217-224
    6. Maria Brigida Ferraro, Maurizio Vichi
      Pages 225-232
    7. Christian Braune, Stephan Besecke, Rudolf Kruse
      Pages 241-248
    8. Michal Burda
      Pages 249-260
    9. Michal Burda, Martin Štěpnička, Lenka Štěpničková
      Pages 261-271
  5. Back Matter
    Pages 293-294

About this book


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.


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

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-10764-6
  • Online ISBN 978-3-319-10765-3
  • Series Print ISSN 2194-5357
  • Series Online ISSN 2194-5365
  • Buy this book on publisher's site
Industry Sectors
Materials & Steel
Chemical Manufacturing
Finance, Business & Banking
IT & Software
Consumer Packaged Goods
Energy, Utilities & Environment
Oil, Gas & Geosciences