Ebook: 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

This volume contains revised versions of selected papers presented at the biennial meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, which was held in Parma, June 6-8, 2005. Sergio Zani chaired the Scientific Programme Committee and Andrea Cerioli chaired the Local Organizing Committee. The scientific programme of the conference included 127 papers, 42 in spe­ cialized sessions, 68 in contributed paper sessions and 17 in poster sessions. Moreover, it was possible to recruit five notable and internationally renowned invited speakers (including the 2004-2005 President of the International Fed­ eration of Classification Societies) for plenary talks on their current research work. Among the specialized sessions, two were organized by Wolfgang Gaul with five talks by members of the GfKl (German Classification Society), and one by Jacqueline J. Meulman (Dutch/Flemish Classification Society). Thus, the conference provided a large number of scientists and experts from home and abroad with an attractive forum for discussion and mutual exchange of knowledge. The topics of all plenary and specialized sessions were chosen to fit, in the broadest possible sense, the mission of CLADAG, the aim of which is "to further methodological, computational and applied research within the fields of Classification, Data Analysis and Multivariate Statistics". A peer-review refereeing process led to the selection of 46 extended papers, which are contained in this book.

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This book presents new developments in data analysis, classification and multivariate statistics, and in their algorithmic implementation. The more methodologically oriented reader will find contributions to the theory of clustering and discrimination, multidimensional data analysis, data mining, and robust statistics with a special emphasis on the novel Forward Search approach. Many papers also provide significant contributions in a wide range of fields of application. Customer satisfaction and service evaluation are two examples of such emerging fields.

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This book presents new developments in data analysis, classification and multivariate statistics, and in their algorithmic implementation. The more methodologically oriented reader will find contributions to the theory of clustering and discrimination, multidimensional data analysis, data mining, and robust statistics with a special emphasis on the novel Forward Search approach. Many papers also provide significant contributions in a wide range of fields of application. Customer satisfaction and service evaluation are two examples of such emerging fields.

Content:
Front Matter....Pages I-XI
Front Matter....Pages 1-1
Genetic Algorithms-based Approaches for Clustering Time Series....Pages 3-10
On the Choice of the Kernel Function in Kernel Discriminant Analysis Using Information Complexity....Pages 11-21
Growing Clustering Algorithms in Market Segmentation: Defining Target Groups and Related Marketing Communication....Pages 23-30
Graphical Representation of Functional Clusters and MDS Configurations....Pages 31-37
Estimation of the Structural Mean of a Sample of Curves by Dynamic Time Warping....Pages 39-48
Sequential Decisional Discriminant Analysis....Pages 49-57
Regularized Sliced Inverse Regression with Applications in Classification....Pages 59-66
Front Matter....Pages 67-67
Approaches to Asymmetric Multidimensional Scaling with External Information....Pages 69-76
Variable Architecture Bayesian Neural Networks: Model Selection Based on EMC....Pages 77-84
Missing Data in Optimal Scaling....Pages 85-92
Simple Component Analysis Based on RV Coefficient....Pages 93-101
Baum-Eagon Inequality in Probabilistic Labeling Problems....Pages 103-110
Monotone Constrained EM Algorithms for Multinormal Mixture Models....Pages 111-118
Visualizing Dependence of Bootstrap Confidence Intervals for Methods Yielding Spatial Configurations....Pages 119-126
Automatic Discount Selection for Exponential Family State-Space Models....Pages 127-134
A Generalization of the Polychoric Correlation Coefficient....Pages 135-142
The Effects of MEP Distributed Random Effects on Variance Component Estimation in Multilevel Models....Pages 143-152
Calibration Confidence Regions Using Empirical Likelihood....Pages 153-160
Front Matter....Pages 161-161
Random Start Forward Searches with Envelopes for Detecting Clusters in Multivariate Data....Pages 163-171
Robust Transformation of Proportions Using the Forward Search....Pages 173-180
Front Matter....Pages 161-161
The Forward Search Method Applied to Geodetic Transformations....Pages 181-188
An R Package for the Forward Analysis of Multivariate Data....Pages 189-197
A Forward Search Method for Robust Generalised Procrustes Analysis....Pages 199-208
A Projection Method for Robust Estimation and Clustering in Large Data Sets....Pages 209-216
Robust Multivariate Calibration....Pages 217-224
Front Matter....Pages 225-225
Procrustes Techniques for Text Mining....Pages 227-234
Building Recommendations from Random Walks on Library OPAC Usage Data....Pages 235-246
A Software Tool via Web for the Statistical Data Analysis: R-php....Pages 247-254
Evolutionary Algorithms for Classification and Regression Trees....Pages 255-262
Variable Selection Using Random Forests....Pages 263-270
Boosted Incremental Tree-based Imputation of Missing Data....Pages 271-278
Sensitivity of Attributes on the Performance of Attribute-Aware Collaborative Filtering....Pages 279-286
Front Matter....Pages 287-287
Customer Satisfaction Evaluation: An Approach Based on Simultaneous Diagonalization....Pages 289-297
Analyzing Evaluation Data: Modelling and Testing for Homogeneity....Pages 299-307
Archetypal Analysis for Data Driven Benchmarking....Pages 309-318
Determinants of Secondary School Dropping Out: a Structural Equation Model....Pages 319-328
Testing Procedures for Multilevel Models with Administrative Data....Pages 329-337
Multidimensional Versus Unidimensional Models for Ability Testing....Pages 339-346
Front Matter....Pages 347-347
A Spatial Mixed Model for Sectorial Labour Market Data....Pages 349-357
The Impact of the New Labour Force Survey on the Employed Classification....Pages 359-367
Front Matter....Pages 347-347
Using CATPCA to Evaluate Market Regulation....Pages 369-376
Credit Risk Management Through Robust Generalized Linear Models....Pages 377-386
Classification of Financial Returns According to Thresholds Exceedances....Pages 387-396
Nonparametric Clustering of Seismic Events....Pages 397-404
A Non-Homogeneous Poisson Based Model for Daily Rainfall Data....Pages 405-416
A Comparison of Data Mining Methods and Logistic Regression to Determine Factors Associated with Death Following Injury....Pages 417-423
Back Matter....Pages 425-426

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This book presents new developments in data analysis, classification and multivariate statistics, and in their algorithmic implementation. The more methodologically oriented reader will find contributions to the theory of clustering and discrimination, multidimensional data analysis, data mining, and robust statistics with a special emphasis on the novel Forward Search approach. Many papers also provide significant contributions in a wide range of fields of application. Customer satisfaction and service evaluation are two examples of such emerging fields.

Content:
Front Matter....Pages I-XI
Front Matter....Pages 1-1
Genetic Algorithms-based Approaches for Clustering Time Series....Pages 3-10
On the Choice of the Kernel Function in Kernel Discriminant Analysis Using Information Complexity....Pages 11-21
Growing Clustering Algorithms in Market Segmentation: Defining Target Groups and Related Marketing Communication....Pages 23-30
Graphical Representation of Functional Clusters and MDS Configurations....Pages 31-37
Estimation of the Structural Mean of a Sample of Curves by Dynamic Time Warping....Pages 39-48
Sequential Decisional Discriminant Analysis....Pages 49-57
Regularized Sliced Inverse Regression with Applications in Classification....Pages 59-66
Front Matter....Pages 67-67
Approaches to Asymmetric Multidimensional Scaling with External Information....Pages 69-76
Variable Architecture Bayesian Neural Networks: Model Selection Based on EMC....Pages 77-84
Missing Data in Optimal Scaling....Pages 85-92
Simple Component Analysis Based on RV Coefficient....Pages 93-101
Baum-Eagon Inequality in Probabilistic Labeling Problems....Pages 103-110
Monotone Constrained EM Algorithms for Multinormal Mixture Models....Pages 111-118
Visualizing Dependence of Bootstrap Confidence Intervals for Methods Yielding Spatial Configurations....Pages 119-126
Automatic Discount Selection for Exponential Family State-Space Models....Pages 127-134
A Generalization of the Polychoric Correlation Coefficient....Pages 135-142
The Effects of MEP Distributed Random Effects on Variance Component Estimation in Multilevel Models....Pages 143-152
Calibration Confidence Regions Using Empirical Likelihood....Pages 153-160
Front Matter....Pages 161-161
Random Start Forward Searches with Envelopes for Detecting Clusters in Multivariate Data....Pages 163-171
Robust Transformation of Proportions Using the Forward Search....Pages 173-180
Front Matter....Pages 161-161
The Forward Search Method Applied to Geodetic Transformations....Pages 181-188
An R Package for the Forward Analysis of Multivariate Data....Pages 189-197
A Forward Search Method for Robust Generalised Procrustes Analysis....Pages 199-208
A Projection Method for Robust Estimation and Clustering in Large Data Sets....Pages 209-216
Robust Multivariate Calibration....Pages 217-224
Front Matter....Pages 225-225
Procrustes Techniques for Text Mining....Pages 227-234
Building Recommendations from Random Walks on Library OPAC Usage Data....Pages 235-246
A Software Tool via Web for the Statistical Data Analysis: R-php....Pages 247-254
Evolutionary Algorithms for Classification and Regression Trees....Pages 255-262
Variable Selection Using Random Forests....Pages 263-270
Boosted Incremental Tree-based Imputation of Missing Data....Pages 271-278
Sensitivity of Attributes on the Performance of Attribute-Aware Collaborative Filtering....Pages 279-286
Front Matter....Pages 287-287
Customer Satisfaction Evaluation: An Approach Based on Simultaneous Diagonalization....Pages 289-297
Analyzing Evaluation Data: Modelling and Testing for Homogeneity....Pages 299-307
Archetypal Analysis for Data Driven Benchmarking....Pages 309-318
Determinants of Secondary School Dropping Out: a Structural Equation Model....Pages 319-328
Testing Procedures for Multilevel Models with Administrative Data....Pages 329-337
Multidimensional Versus Unidimensional Models for Ability Testing....Pages 339-346
Front Matter....Pages 347-347
A Spatial Mixed Model for Sectorial Labour Market Data....Pages 349-357
The Impact of the New Labour Force Survey on the Employed Classification....Pages 359-367
Front Matter....Pages 347-347
Using CATPCA to Evaluate Market Regulation....Pages 369-376
Credit Risk Management Through Robust Generalized Linear Models....Pages 377-386
Classification of Financial Returns According to Thresholds Exceedances....Pages 387-396
Nonparametric Clustering of Seismic Events....Pages 397-404
A Non-Homogeneous Poisson Based Model for Daily Rainfall Data....Pages 405-416
A Comparison of Data Mining Methods and Logistic Regression to Determine Factors Associated with Death Following Injury....Pages 417-423
Back Matter....Pages 425-426
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