Classification and Multivariate Analysis for Complex Data Structures

1. Front Matter

   Pages i-xix

   PDF

2. Key Notes

   1. Front Matter

      Pages 1-1

      PDF

3. Key notes

   1. Principal Component Analysis for Categorical Histogram Data: Some Open Directions of Research

      • Edwin Diday

      Pages 3-15

   2. Factorial Conjoint Analysis Based Methodologies

      • Giuseppe Giordano, Carlo Natale Lauro, Germana Scepi

      Pages 17-27

   3. Ordering and Scaling Objects in Multivariate Data Under Nonlinear Transformations of Variables

      • Jacqueline J. Meulman, Lawrence J. Hubert, Phipps Arabie

      Pages 29-40

   4. Statistical Models to Predict Academic Churn Risk

      • Paolo Giudici, Emanuele Dequarti

      Pages 41-49

   5. The Poisson Processes in Cluster Analysis

      • André Hardy

      Pages 51-62

   6. TWO-CLASS Trees for Non-Parametric Regression Analysis

      • Roberta Siciliano, Massimo Aria

      Pages 63-71

4. Classification and Discrimination

   1. Front Matter

      Pages 73-73

      PDF

5. Classification and discrimination

   1. Efficient Incorporation of Additional Information to Classification Rules

      • Miguel Fernández, Cristina Rueda, Bonifacio Salvador

      Pages 75-83

   2. The Choice of the Parameter Values in a Multivariate Model of a Second Order Surface with Heteroscedastic Error

      • Umberto Magagnoli, Gabriele Cantaluppi

      Pages 85-93

   3. Mixed Mode Data Clustering: An Approach Based on Tetrachoric Correlations

      • Isabella Morlini

      Pages 95-103

   4. Optimal Scaling Trees for Three-Way Data

      • Valerio A. Tutore

      Pages 105-112

6. Data Mining

   1. Front Matter

      Pages 113-113

      PDF

7. Data mining

   1. A Study on Text Modelling via Dirichlet Compound Multinomial

      • Concetto Elvio Bonafede, Paola Cerchiello

      Pages 115-123

   2. Automatic Multilevel Thresholding Based on a Fuzzy Entropy Measure

      • D. Bruzzese, U. Giani

      Pages 125-133

   3. Some Developments in Forward Search Clustering

      • Daniela G. Calò

      Pages 135-143

   4. Spectral Graph Theory Tools for Social Network Comparison

      • Domenico De Stefano

      Pages 145-153

   5. Improving the MHIST-p Algorithm for Multivariate Histograms of Continuous Data

      • Mauro Iacono, Antonio Irpino

      Pages 155-163

   6. On Building and Visualizing Proximity Graphs for Large Data Sets with Artificial Ants

      • Julien Lavergne, Hanane Azzag, Christiane Guinot, Gilles Venturini

      Pages 165-172

The growing capabilities in generating and collecting data has risen an urgent need of new techniques and tools in order to analyze, classify and summarize statistical information, as well as to discover and characterize trends, and to automatically bag anomalies. This volume provides the latest advances in data analysis methods for multidimensional data which can present a complex structure: The book offers a selection of papers presented at the first Joint Meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society. Special attention is paid to new methodological contributions from both the theoretical and the applicative point of views, in the fields of Clustering, Classification, Time Series Analysis, Multidimensional Data Analysis, Knowledge Discovery from Large Datasets, Spatial Statistics.

• Classification
• Data Mining
• Multidimensional Data
• Multivariate Data Analysis
• Optimal Scaling

• , Laboratoire d' Informatique, Université d' Aix-Marseille II, Marseille cedex 9, France

  Bernard Fichet

• , Dipartimento di Scienze Statistiche, Università di Napoli "Federico II", Naples, Italy

  Domenico Piccolo

• , Facoltà di Studi Politici "Jean Monnet", Seconda Università di Napoli, Caserta, Italy

  Rosanna Verde

• , Facoltà di Scienze Statistiche, Università di Roma "La Sapienza", Rome, Italy

  Maurizio Vichi

Policies and ethics