Classification and Data Analysis 2007

The Sixth Scientific Meeting of the CLAssification and Data Analysis Group (CLADAG) of the Italian Statistical Society was held in Macerata, September 12-14, 2007.
The present book contains the short papers presented during this meeting.

Preface – Key–Note Papers – Invited Papers 1. Knowledge extraction from temporal data models; 2. Statistical models with errors-in-covariates; 3. Multivariate Analysis for Microarray Data; 4. Cluster Analysis of complex data; 5. Educational Processes Assesment by means of Latent Variables Models; 6. Classification of complex data; 7. Multidimensional Scaling; 8. Statistical Models for Public Policies; 9. Classification models for enterprise risk management; 10. Model based clustering – Contributed Papers. Solicited Papers 1. Applications in Classification and Segmentation; 2. Classification Issues in Social Network Analysis; 3. Metainformation and knowledge extraction from textual data bases; 4. Customer Relationship Management; 5. Missing Data; 6. Statistical methods in decision-making; 7. Multivariate methods in social research; 8. Statistical Models with Latent Features; 9. Classificaion Trees; 10. Exploring data structures with the Forward Search – Contributed Papers 1. Clustering in Marketing Research and Data Mining; 2. Data Analysis in Finance; 3. Mixture and Latent Class model; 4. Economics; 5. Latent Variables; 6. Non Parametric Regression; 7. Cluster Structures; 8. Customer Satisfaction; 9. Discrimination; 10. Robust Classification; 11. Bayesian Network; 12. Textual data; 13. Data Analysis – Poster Session – Ph.D. Special Session – Indice degli autori.