Classification, (Big) Data Analysis and Statistical Learning

Rank Properties for Centred Three-way Arrays - C. Albers (Univ. of Groningen) et al.- Principal Component Analysis of Complex Data and Application to Climatology - S. Camiz (La Sapienza Univ. of Rome) et al.- Clustering upper level units in multilevel models for ordinal data - L. Grilli (Univ. of Florence) et al.- A Multilevel Heckman Model To Investigate Financial Assets Among Old People In Europe - O. Paccagnella (univ. of Padua) et al.-  Multivariate stochastic downscaling with semicontinuous data - L. Paci (univ. of Bologna) et al.- Motivations and expectations of students' mobility abroad: a mapping technique - V. Caviezel (Univ. of Bergamo) et al.- Comparing multi-step ahead forecasting functions for time series clustering - M. Corduas (Univ. of Naples Federico II) et al.- Electre Tri-Machine Learning Approach to the Record Linkage - V. Minnetti (La Sapienza Univ. of Rome) et al.- . MCA Based Community Detection - C. Drago (Univ. of Rome Niccolò Cusano).- Classifying social roles by network structures - S. Gozzo (univ. of Catania) et al.- Bayesian Networks For Financial Markets Signals Detection - A. Greppi (univ.of Pavia) et al.- Finite sample behaviour of MLE in network autocorrelation models - M. La Rocca (Univ. of Salerno) et al.-  Classification Models as Tools of Bankruptcy Prediction - Polish Experience - J. Pochiecha (Cracow university) et al.- Clustering macroseismic fields by statistical data depth functions - C. Agostinelli (Univ. of Trento).- Depth based tests for circular antipodal symmetry - G. Pandolfo (Univ. of Cassino) et al.- Estimating The Effect Of Prenatal Care On Birth Outcomes - E. Sironi (Sacro Cuore University) et al.- Bifurcations And Sunspots In Continuous Time Optimal Models With Externalities - B.Venturi (Univ. of Cagliari) et al.- Enhancing Big Data Exploration with Faceted Browsing - S. Bergamaschi (Univ. of Modena and Reggio Emilia) et al.- Big data meet pharmaceutical industry: an application on

Francesco Mola is full professor of Statistics at the Department of Business and Economics at the University of Cagliari. He received his Ph.D in Computational Statistics and Data Analysis from the University of Naples Federico II. His research interests are in the field of multivariate data analysis and statistical learning, particularly data science and computational statistics. He has published more than sixty papers in international journals, encyclopedias, conference proceedings, and edited books.

Claudio Conversano is associate professor of Statistics at the Department of Business and Economics at the University of Cagliari. He received his Ph.D in Computational Statistics and Data Analysis from the University of Naples Federico II. His research interests include nonparametric statistics, statistical learning and computational finance. He has published more than forty papers in international journals, encyclopedias, conference proceedings, and edited books.