Thematic Areas
Proposals for contributed comunications either oral or poster format are welcomed in all areas of Classification and Data Analysis, namely:
Theory and Methods
- Sampling
- Classification analysis
- Symbolic data analysis
- Design of experiments
- Pattern recognition
- Databases and Information Management
- Classification, discrimination and clustering
- Quality control
- Data mining and Business intelligence
- Latent variable models
- Mixture models
- Spatial models
- Fuzzy models and Neural networks
- Longitudinal models
- Data visualization
Applications
- Computation sciences
- Education sciences
- Natural sciences
- Management sciences
- Medical sciences
- Environmental sciences
- Exact and Engineering sciences
- Social sciences
- Demography and Actuarial sciences
- Economics and Finance
- Official statistics
- Market research and Public opinion studies