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Classification, (Big) Data Analysis and Statistical Learning

  • Francesco Mola
  • Claudio Conversano
  • Maurizio Vichi

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Big Data

    1. Front Matter
      Pages 1-1
    2. Serena Signorelli, Silvia Biffignandi
      Pages 3-11
    3. Sonia Bergamaschi, Giovanni Simonini, Song Zhu
      Pages 13-21
    4. Valentina Minnetti, Renato De Leone
      Pages 31-39
  3. Social Networks

    1. Front Matter
      Pages 41-41
    2. Michele La Rocca, Giovanni C. Porzio, Maria Prosperina Vitale, Patrick Doreian
      Pages 43-50
    3. Simona Gozzo, Venera Tomaselli
      Pages 51-58
    4. Carlo Drago
      Pages 59-66
  4. Exploratory data analysis

    1. Front Matter
      Pages 67-67
    2. Casper J. Albers, John C. Gower, Henk A. L. Kiers
      Pages 69-76
    3. Valeria Caviezel, Anna Maria Falzoni, Sebastiano Vitali
      Pages 87-95
    4. Giuseppe Pandolfo, Giovanni Casale, Giovanni C. Porzio
      Pages 97-104
  5. Statistical modeling

    1. Front Matter
      Pages 105-105
    2. Lucia Paci, Carlo Trivisano, Daniela Cocchi
      Pages 107-115
    3. Emiliano Sironi, Massimo Cannas, Francesco Mola
      Pages 127-133
  6. Clustering and Classification

    1. Front Matter
      Pages 135-135
    2. Leonardo Grilli, Agnese Panzera, Carla Rampichini
      Pages 137-144
    3. Claudio Agostinelli, Renata Rotondi, Elisa Varini
      Pages 145-153
    4. Giulia Contu, Luca Frigau
      Pages 155-162
    5. Józef Pociecha, Barbara Pawełek, Mateusz Baryła, Sabina Augustyn
      Pages 163-172
  7. Time series and spatial data

    1. Front Matter
      Pages 181-181
    2. Carmela Iorio, Gianluca Frasso, Antonio D’Ambrosio, Roberta Siciliano
      Pages 183-190
    3. Marcella Corduas, Giancarlo Ragozini
      Pages 191-199
    4. Mariantonietta Ruggieri, Antonella Plaia, Francesca Di Salvo
      Pages 201-208
  8. Finance and Economics

    1. Front Matter
      Pages 209-209
    2. Roberta Pappadà, Fabrizio Durante, Nicola Torelli
      Pages 211-218
    3. Alessandro Greppi, Maria E. De Giuli, Claudia Tarantola, Dennis M. Montagna
      Pages 219-226
    4. Beatrice Venturi, Alessandro Pirisinu
      Pages 235-242

About these proceedings

Introduction

This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data analytics, time series clustering, integration of data from different sources, as well as social networks. It covers both methodological aspects as well as applications to a wide range of areas such as economics, marketing, education, social sciences, medicine, environmental sciences and the pharmaceutical industry. In addition, it describes the basic features of the software behind the data analysis results, and provides links to the corresponding codes and data sets where necessary. This book is intended for researchers and practitioners who are interested in the latest developments and applications in the field. The peer-reviewed contributions were presented at the 10th Scientific Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, held in Santa Margherita di Pula (Cagliari), Italy, October 8–10, 2015.

Keywords

00B25, 03-06, 03C45, 91C15, 62H30, 68T10, 91C20, 91D30 classification big data statistical learning clustering data science computational statistics machine learning social networks statistical data analysis time series clustering integration of data applications of statistics

Editors and affiliations

  • Francesco Mola
    • 1
  • Claudio Conversano
    • 2
  • Maurizio Vichi
    • 3
  1. 1.Department of Business and EconomicsUniversity of CagliariCagliariItaly
  2. 2.Department of Business and EconomicsUniversity of CagliariCagliariItaly
  3. 3.Department of Statistical SciencesSapienza University of RomeRomeItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-55708-3
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-55707-6
  • Online ISBN 978-3-319-55708-3
  • Series Print ISSN 1431-8814
  • Series Online ISSN 2198-3321
  • Buy this book on publisher's site