E-raamat: Data Analysis, Classification and the Forward Search: Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Parma, June 6-8, 2005

Clustering and Discrimination.- Genetic Algorithms-based Approaches for
Clustering Time Series.- On the Choice of the Kernel Function in Kernel
Discriminant Analysis Using Information Complexity.- Growing Clustering
Algorithms in Market Segmentation: Defining Target Groups and Related
Marketing Communication.- Graphical Representation of Functional Clusters and
MDS Configurations.- Estimation of the Structural Mean of a Sample of Curves
by Dynamic Time Warping.- Sequential Decisional Discriminant Analysis.-
Regularized Sliced Inverse Regression with Applications in Classification.-
Multidimensional Data Analysis and Multivariate Statistics.- Approaches to
Asymmetric Multidimensional Scaling with External Information.- Variable
Architecture Bayesian Neural Networks: Model Selection Based on EMC.- Missing
Data in Optimal Scaling.- Simple Component Analysis Based on RV Coefficient.-
Baum-Eagon Inequality in Probabilistic Labeling Problems.- Monotone
Constrained EM Algorithms for Multinormal Mixture Models.- Visualizing
Dependence of Bootstrap Confidence Intervals for Methods Yielding Spatial
Configurations.- Automatic Discount Selection for Exponential Family
State-Space Models.- A Generalization of the Polychoric Correlation
Coefficient.- The Effects of MEP Distributed Random Effects on Variance
Component Estimation in Multilevel Models.- Calibration Confidence Regions
Using Empirical Likelihood.- Robust Methods and the Forward Search.- Random
Start Forward Searches with Envelopes for Detecting Clusters in Multivariate
Data.- Robust Transformation of Proportions Using the Forward Search.- The
Forward Search Method Applied to Geodetic Transformations.- An R Package for
the Forward Analysis of Multivariate Data.- A Forward Search Method for
Robust Generalised Procrustes Analysis.- A Projection Method for Robust
Estimation and Clustering in Large Data Sets.- Robust Multivariate
Calibration.- Data Mining Methods and Software.- Procrustes Techniques for
Text Mining.- Building Recommendations from Random Walks on Library OPAC
Usage Data.- A Software Tool via Web for the Statistical Data Analysis:
R-php.- Evolutionary Algorithms for Classification and Regression Trees.-
Variable Selection Using Random Forests.- Boosted Incremental Tree-based
Imputation of Missing Data.- Sensitivity of Attributes on the Performance of
Attribute-Aware Collaborative Filtering.- Multivariate Methods for Customer
Satisfaction and Service Evaluation.- Customer Satisfaction Evaluation: An
Approach Based on Simultaneous Diagonalization.- Analyzing Evaluation Data:
Modelling and Testing for Homogeneity.- Archetypal Analysis for Data Driven
Benchmarking.- Determinants of Secondary School Dropping Out: a Structural
Equation Model.- Testing Procedures for Multilevel Models with Administrative
Data.- Multidimensional Versus Unidimensional Models for Ability Testing.-
Multivariate Methods in Applied Science.- A Spatial Mixed Model for Sectorial
Labour Market Data.- The Impact of the New Labour Force Survey on the
Employed Classification.- Using CATPCA to Evaluate Market Regulation.- Credit
Risk Management Through Robust Generalized Linear Models.- Classification of
Financial Returns According to Thresholds Exceedances.- Nonparametric
Clustering of Seismic Events.- A Non-Homogeneous Poisson Based Model for
Daily Rainfall Data.- A Comparison of Data Mining Methods and Logistic
Regression to Determine Factors Associated with Death Following Injury.