Classification, (Big) Data Analysis and Statistical Learning

✍ Scribed by Francesco Mola,Claudio Conversano,Maurizio Vichi (eds.)

• Publisher: Springer International Publishing
• Year: 2018
• Tongue: English
• Leaves: 243
• Series: Studies in Classification, Data Analysis, and Knowledge Organization
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-xvii
Front Matter ....Pages 1-1
From Big Data to Information: Statistical Issues Through a Case Study (Serena Signorelli, Silvia Biffignandi)....Pages 3-11
Enhancing Big Data Exploration with Faceted Browsing (Sonia Bergamaschi, Giovanni Simonini, Song Zhu)....Pages 13-21
Big Data Meet Pharmaceutical Industry: An Application on Social Media Data (Caterina Liberati, Paolo Mariani)....Pages 23-30
Electre Tri Machine Learning Approach to the Record Linkage (Valentina Minnetti, Renato De Leone)....Pages 31-39
Front Matter ....Pages 41-41
Finite Sample Behavior of MLE in Network Autocorrelation Models (Michele La Rocca, Giovanni C. Porzio, Maria Prosperina Vitale, Patrick Doreian)....Pages 43-50
Network Analysis Methods for Classification of Roles (Simona Gozzo, Venera Tomaselli)....Pages 51-58
MCA-Based Community Detection (Carlo Drago)....Pages 59-66
Front Matter ....Pages 67-67
Rank Properties for Centred Three-Way Arrays (Casper J. Albers, John C. Gower, Henk A. L. Kiers)....Pages 69-76
Principal Component Analysis of Complex Data and Application to Climatology (Sergio Camiz, Silvia Creta)....Pages 77-85
Motivations and Expectations of Students’ Mobility Abroad: A Mapping Technique (Valeria Caviezel, Anna Maria Falzoni, Sebastiano Vitali)....Pages 87-95
Testing Circular Antipodal Symmetry Through Data Depths (Giuseppe Pandolfo, Giovanni Casale, Giovanni C. Porzio)....Pages 97-104
Front Matter ....Pages 105-105
Multivariate Stochastic Downscaling for Semicontinuous Data (Lucia Paci, Carlo Trivisano, Daniela Cocchi)....Pages 107-115
Exploring Italian Students’ Performances in the SNV Test: A Quantile Regression Perspective (Antonella Costanzo, Domenico Vistocco)....Pages 117-126
Estimating the Effect of Prenatal Care on Birth Outcomes (Emiliano Sironi, Massimo Cannas, Francesco Mola)....Pages 127-133
Front Matter ....Pages 135-135
Clustering Upper Level Units in Multilevel Models for Ordinal Data (Leonardo Grilli, Agnese Panzera, Carla Rampichini)....Pages 137-144
Clustering Macroseismic Fields by Statistical Data Depth Functions (Claudio Agostinelli, Renata Rotondi, Elisa Varini)....Pages 145-153
Comparison of Cluster Analysis Approaches for Binary Data (Giulia Contu, Luca Frigau)....Pages 155-162
Classification Models as Tools of Bankruptcy Prediction—Polish Experience (Józef Pociecha, Barbara Pawełek, Mateusz Baryła, Sabina Augustyn)....Pages 163-172
Quality of Classification Approaches for the Quantitative Analysis of International Conflict (Adalbert F. X. Wilhelm)....Pages 173-180
Front Matter ....Pages 181-181
P-Splines Based Clustering as a General Framework: Some Applications Using Different Clustering Algorithms (Carmela Iorio, Gianluca Frasso, Antonio D’Ambrosio, Roberta Siciliano)....Pages 183-190
Comparing Multistep Ahead Forecasting Functions for Time Series Clustering (Marcella Corduas, Giancarlo Ragozini)....Pages 191-199
Comparing Spatial and Spatio-temporal FPCA to Impute Large Continuous Gaps in Space (Mariantonietta Ruggieri, Antonella Plaia, Francesca Di Salvo)....Pages 201-208
Front Matter ....Pages 209-209
A Graphical Tool for Copula Selection Based on Tail Dependence (Roberta Pappadà, Fabrizio Durante, Nicola Torelli)....Pages 211-218
Bayesian Networks for Financial Market Signals Detection (Alessandro Greppi, Maria E. De Giuli, Claudia Tarantola, Dennis M. Montagna)....Pages 219-226
A Multilevel Heckman Model to Investigate Financial Assets Among Older People in Europe (Omar Paccagnella, Chiara Dal Bianco)....Pages 227-234
Bifurcation and Sunspots in Continuous Time Optimal Model with Externalities (Beatrice Venturi, Alessandro Pirisinu)....Pages 235-242

✦ Subjects

Statistical Theory and Methods