Cladag 2017 Book of Short Papers
This book is the collection of the Abstract / Short Papers submitted by the authors of the International Conference of The CLAssification and Data Analysis Group (CLADAG) of the Italian Statistical Society (SIS), held in Milan (Italy) on September 13-15, 2017.
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ABSTRACT algorithm application approach Bayesian Bayesian Networks Big Data binary brand classification cluster analysis coefficients computed conditional conditional independence consider copula correlation corresponding covariance matrix Data Analysis dataset decomposition defined denote density distance distribution e-mail effect EM algorithm equation errors estimation evaluation factor Figure finite mixture functional data functional data analysis Gaussian graph hidden variable indicators inference introduced Italy Journal k-cores k-means KEYWORDS latent likelihood linear linear regression Machine Learning Mahalanobis distance Markov mean measure methods mixture model multilevel multilevel models multivariate nodes observations obtained optimal outliers paper parameters performance population prediction probability problem procedure Process Mining profiles proposed q q q random Random Forest random variable ranking References regression model robust sample scores selected simulation specific Springer Statistics structure subset Table tion trimming tweets University values variance vector weights