Proposals for contributed comunications either oral or poster format are welcome in all areas of Classification and Data Analysis, namely:
- Theory and Methods
- Sampling
- Classification Analysis
- Design of experiments
- Databases and Information Management
- Classification, regression, discrimination and pattern recognitions
- Data Mining and Business Intelligence
- Latent variable models
- Mixture models
- Spatial models
- Fuzzy models and Neural networks
- Longitudinal models
- Data visualization
- Applications:
- Life and Health sciences
- Exact and Engineering sciences
- Natural and Environmental sciences
- Social sciences
