THEMATIC AREAS
Proposals for communications are welcomed – in oral or poster format – in all areas of Classification and Data Analysis, including but not limited to:
Theory and Methods
Algorithms and optimization
Sampling
Classificatory analysis
Symbolic data analysis
Textual data analysis and natural language / Text mining
Experience analysis
Social network analysis
Survival analysis
Exploratory data analysis
Data analysis applications
Machine learning and pattern recognition
Databases and information management
Classification, discrimination and clustering
Quality control
Data mining and business intelligence
Deep learning
Models with latent variables
Mixture models
Fuzzy models and neural networks
Models for spatial data
Experiment planning
Regression and generalized linear models
Time series/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