Data Analysis and Classification Proceedings of the 6th Conference of the Classification and Data Analysis Group of the Società Italiana di Statistica

Actuarial and Continuous Time Risk Models: Towards a Synthesis.- Clustering of High-Dimensional and Correlated Data.- Statistical Methods for Cryptography.- An algorithm for earthquakes clustering based on maximum likelihood.- A two-step iterative procedure for clustering of binary sequences.- Clustering linear models using Wasserstein distance.- Comparing approaches for clustering mixed mode data: an application in marketing research.- The Progressive Single Linkage Algorithm Based on Minkowski Ultrametrics.- Visualization of model-based clustering structures.- Models for Asymmetry in Proximity Data.- Intimate femicide in Italy: a model to classify how killings happened.- Two-Dimensional Centrality of Asymmetric Social Network.- The forward search for classical multidimensional scaling when the starting data matrix is known.- Discriminant Analysis on Mixed Predictos.- A Statistical Calibration Model for Affymetrix Probe Level Data.- A proposal to fuzzify categorical variables in operational risk management.- Common Optimal Scaling for Customer Satisfaction Models: a point to Cobb-Douglas’ form.- Structural Neural Networks for Modeling Customer Satisfaction.- Dimensionality of scores obtained with a paired-comparison tournament system of questionnaire items.- Using Rasch measurement to assess the role of the traditional family in Italy.- Projection pursuit using the adjusted critical bandwidth.- Association rule mining of multimedia content.- Automatic dictionary and rule-based systems for extracting information from text.- Several computational studies about variable selection for probabilistic Bayesian classifiers.- Semantic classification and cooccurrences: a method for the rules production for the information extraction from textual data.- The effectiveness of university education: a structural equation model.- Simultaneous Threshold Interaction Detection in Binary Classification.- Detecting Subset of Classifiers for Multi-Attribute Response Prediction.- Clustering Textual Data by Latent Dirichlet Allocation: Applications and Extensions to Hierarchical Data.- Multilevel Latent Class Models for evaluation of long term care facilities.- Author-Coauthor Social Networks and Emerging Scientific Subfields.- A hierarchical Model for Time Dependent Multivariate Longitudinal Data.- Covariate error bias effects in dynamic regression model estimation and improvement in the prediction by covariate local clusters.- Local Multilevel Modeling for Comparisons of Institutional Performance.- Modelling Network Data: an Introduction to Exponential Random Graph Models.- Earthquakes clustering interpretation based on a second-order diagnostic approach.- Latent regression in Rasch framework.- A Multilevel Latent Variable Model for Multidimensional Longitudinal Data.- Turning Point Detection Using Markov Switching Models with Latent Information.- Statistical and Numerical Algorithms for Time Series Classification.- Mining Time Series Data: a selective survey.- Predictive dynamic models for SMEs.- Clustering Algorithms for Large Temporal Data Sets.- Robust Clustering for Performance Evaluation.- Outliers detection strategy for a Robust Curves Clustering.- Robust fuzzy classification.- Weighted Likelihood Inference for a Mixed Regressive Spatial Autoregressive Model.- Detecting Price Outliers in European Trade Data with Backward and Forward Methods.- Comparing continuous treatment matching methods in policy evaluation.- Temporal aggregation and closure of VARMA models. Some new results.- An index for ranking financial portfolios according to internal turnover.- Bayesian Hidden Markov Models for Financial Data.- Regression imputation for Space-Time datasets with missing values.- A multiple imputation approach in a survey on university teaching evaluation.