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Classification and Multivariate Analysis for Complex Data Structures

  • Bernard Fichet
  • Domenico Piccolo
  • Rosanna Verde
  • Maurizio Vichi

Table of contents

  1. Front Matter
    Pages i-xix
  2. Key Notes

    1. Front Matter
      Pages 1-1
    2. Giuseppe Giordano, Carlo Natale Lauro, Germana Scepi
      Pages 17-27
    3. Jacqueline J. Meulman, Lawrence J. Hubert, Phipps Arabie
      Pages 29-40
    4. Paolo Giudici, Emanuele Dequarti
      Pages 41-49
    5. Roberta Siciliano, Massimo Aria
      Pages 63-71
  3. Classification and Discrimination

    1. Front Matter
      Pages 73-73
    2. Miguel Fernández, Cristina Rueda, Bonifacio Salvador
      Pages 75-83
    3. Valerio A. Tutore
      Pages 105-112
  4. Data Mining

    1. Front Matter
      Pages 113-113
    2. Concetto Elvio Bonafede, Paola Cerchiello
      Pages 115-123
    3. Daniela G. Calò
      Pages 135-143
    4. Julien Lavergne, Hanane Azzag, Christiane Guinot, Gilles Venturini
      Pages 165-172
    5. Mariagiulia Matteucci, Bernard P. Veldkamp
      Pages 173-181
  5. Robustness and Classification

    1. Front Matter
      Pages 183-183
    2. Aldo Corbellini, Lisa Crosato
      Pages 193-201
    3. Giovanna Menardi, Federico Tedeschi, Nicola Torelli
      Pages 211-218
  6. Categorical Data and Latent Class Approach

  7. Latent Variables and Related Methods

    1. Front Matter
      Pages 291-291
    2. Giuseppe Boari, Gabriele Cantaluppi, Stefano Bertelli
      Pages 293-300
    3. Antonio D’Ambrosio, Marcello Pecoraro
      Pages 309-316
    4. Rosaria Romano, Jannie S. Vestergaard, Mohsen Kompany-Zareh, Wender L.P. Bredie
      Pages 335-342
    5. Giorgio Russolillo, Carlo Natale Lauro
      Pages 343-350
  8. Symbolic, Multivalued and Conceptual Data Analysis

    1. Front Matter
      Pages 351-351
    2. Maria Rosaria D’Esposito, Francesco Palumbo, Giancarlo Ragozini
      Pages 353-361
    3. Marina Marino, Simona Signoriello
      Pages 363-370
    4. Jaromír Antoch, Raffaele Miele
      Pages 371-377
    5. Michel Soto, Bénédicte Le Grand, Marie-Aude Aufaure
      Pages 379-388
  9. Spatial, Temporal, Streaming and Functional Data Analysis

    1. Front Matter
      Pages 389-389
    2. R. Abdesselam, S. Cieply, A.L. Le Nadant
      Pages 391-399

About these proceedings

Introduction

The growing capabilities in generating and collecting data has risen an urgent need of new techniques and tools in order to analyze, classify and summarize statistical information, as well as to discover and characterize trends, and to automatically bag anomalies. This volume provides the latest advances in data analysis methods for multidimensional data which can present a complex structure: The book offers a selection of papers presented at the first Joint Meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society. Special attention is paid to new methodological contributions from both the theoretical and the applicative point of views, in the fields of Clustering, Classification, Time Series Analysis, Multidimensional Data Analysis, Knowledge Discovery from Large Datasets, Spatial Statistics.

Keywords

Classification Data Mining Multidimensional Data Multivariate Data Analysis Optimal Scaling

Editors and affiliations

  • Bernard Fichet
    • 1
  • Domenico Piccolo
    • 2
  • Rosanna Verde
    • 3
  • Maurizio Vichi
    • 4
  1. 1., Laboratoire d' InformatiqueUniversité d' Aix-Marseille IIMarseille cedex 9France
  2. 2., Dipartimento di Scienze StatisticheUniversità di Napoli "Federico II"NaplesItaly
  3. 3., Facoltà di Studi Politici "Jean Monnet"Seconda Università di NapoliCasertaItaly
  4. 4., Facoltà di Scienze StatisticheUniversità di Roma "La Sapienza"RomeItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-13312-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-642-13311-4
  • Online ISBN 978-3-642-13312-1
  • Series Print ISSN 1431-8814
  • Buy this book on publisher's site
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