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Classification and Multivariate Analysis for Complex Data Structures

  • Conference proceedings
  • © 2011

Overview

  • Latest advances in data analysis methods for multidimensional data
  • With contributions by international experts
  • Special attention to new methodological contributions from theoretical and applicative points of view
  • Includes supplementary material: sn.pub/extras

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Table of contents (49 papers)

  1. Key Notes

  2. Key notes

  3. Classification and Discrimination

  4. Classification and discrimination

  5. Data Mining

  6. Data mining

Keywords

About this book

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.

Editors and Affiliations

  • , Laboratoire d' Informatique, Université d' Aix-Marseille II, Marseille cedex 9, France

    Bernard Fichet

  • , Dipartimento di Scienze Statistiche, Università di Napoli "Federico II", Naples, Italy

    Domenico Piccolo

  • , Facoltà di Studi Politici "Jean Monnet", Seconda Università di Napoli, Caserta, Italy

    Rosanna Verde

  • , Facoltà di Scienze Statistiche, Università di Roma "La Sapienza", Rome, Italy

    Maurizio Vichi

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