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Advances in Classification and Data Analysis

  • Simone Borra
  • Roberto Rocci
  • Maurizio Vichi
  • Martin Schader

Table of contents

  1. Front Matter
    Pages I-X
  2. Classification and Multidimentional Scaling

    1. Front Matter
      Pages 1-1
    2. Cluster Analysis

    3. Discriminant Analysis

    4. Proximity Structures Analysis and Multidimensional Scaling

    5. Genetic Algorithms and Neural Networks

      1. Roberto Baragona, Claudio Calzini, Francesco Battaglia
        Pages 109-118
      2. Roberta Siciliano, Ab Mooijaart
        Pages 127-134
  3. Multivariate Data Analysis

    1. Front Matter
      Pages 135-135
    2. Factorial methods

    3. Textual Data Analysis

    4. Regression Models for Data Analysis

    5. Nonparametric Methods

      1. Riccardo Borgoni, Corrado Provasi
        Pages 233-240
      2. Simone Borra, Agostino Di Ciaccio
        Pages 241-248
      3. Carmela Cappelli, Francesco Mola, Roberta Siciliano
        Pages 249-256
      4. Pierpaolo D’Urso, Tommaso Gastaldi
        Pages 257-264
  4. Spatial and Time Series Data Analysis

    1. Front Matter
      Pages 265-265
    2. Time Series Analysis

      1. Alessandra Amendola, Francesco Giordano, Cira Perna
        Pages 267-274
      2. Gianluca Cubadda, Pierluigi Daddi
        Pages 275-282
      3. Michele La Rocca, Cosimo Vitale
        Pages 291-298
    3. Spatial Data Analysis

  5. Applications and Case Studies

    1. Front Matter
      Pages 341-341
    2. Bruno Bisceglia, Alfredo Rizzi
      Pages 343-350
    3. Tommaso Minerva, Irene Poli
      Pages 367-373

About these proceedings

Introduction

This volume contains a selection of papers presented at the biannual meeting of the Classification and Data Analysis Group of Societa Italiana di Statistica, which was held in Rome, July 5-6, 1999. From the originally submitted papers, a careful review process led to the selection of 45 papers presented in four parts as follows: CLASSIFICATION AND MULTIDIMENSIONAL SCALING Cluster analysis Discriminant analysis Proximity structures analysis and Multidimensional Scaling Genetic algorithms and neural networks MUL TIV ARIA TE DATA ANALYSIS Factorial methods Textual data analysis Regression Models for Data Analysis Nonparametric methods SPATIAL AND TIME SERIES DATA ANALYSIS Time series analysis Spatial data analysis CASE STUDIES INTERNATIONAL FEDERATION OF CLASSIFICATION SOCIETIES The International Federation of Classification Societies (IFCS) is an agency for the dissemination of technical and scientific information concerning classification and data analysis in the broad sense and in as wide a range of applications as possible; founded in 1985 in Cambridge (UK) from the following Scientific Societies and Groups: British Classification Society -BCS; Classification Society of North America - CSNA; Gesellschaft fUr Klassifikation - GfKI; Japanese Classification Society -JCS; Classification Group of Italian Statistical Society - CGSIS; Societe Francophone de Classification -SFC. Now the IFCS includes also the following Societies: Dutch-Belgian Classification Society - VOC; Polish Classification Society -SKAD; Associayao Portuguesa de Classificayao e Analise de Dados -CLAD; Korean Classification Society -KCS; Group-at-Large.

Keywords

Clusteranalyse Genetic Algorithms calculus classification clustering data analysis dynamics forecasting modeling neural networks regression regression analysis statistical analysis statistics time series analysis

Editors and affiliations

  • Simone Borra
    • 1
  • Roberto Rocci
    • 2
  • Maurizio Vichi
    • 3
  • Martin Schader
    • 4
  1. 1.Department SEFEMEQUniversity of Rome “Tor Vergata”RomeItaly
  2. 2.Department SEGeSUniversity of MoliseCampobassoItaly
  3. 3.Department Statistica, Probabilità e Statistiche ApplicateUniversity of Rome “La Sapienza”RomeItaly
  4. 4.University of MannheimMannheimGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-59471-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2001
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-41488-9
  • Online ISBN 978-3-642-59471-7
  • Series Print ISSN 1431-8814
  • Buy this book on publisher's site