Scientific program:

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

  • CLAD
  • ESTB
  • INE
  • BdP
  • CMBarreiro
  • PSE
  • FISIPE
  • BaiadoTejo
  • TOTTa
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