Per organizzare in modo omogeneo le sessioni dei contributi, gli autori sono invitati a classificare la comunicazione che intendono presentare scegliendo uno o due tra i seguenti argomenti:

General Topics
Bayesian Data Analysis - Data Mining - Genetic Algorithms and Related Approaches - Graphical Representations -Internet Surveys and Retrieval - Mixture Models - Neural Networks - Social Networks - Validation - Classification - Combinatorial Methods - Consensus Theory - Decision Trees - Discriminant Analysis - Distance Models and Hierarchical Clustering - Fuzzy Clustering - Pattern Recognition - Philosophy and History of Classification - Phylogenetic Methods - Probabilistic Approaches to Classification.
Data Analysis
Categorical Data Analysis - Factor Analysis - Multidimensional Scaling - Multilevel Analysis - Multivariate Analysis - Multiway Data Analysis - Ordination - Sequential and Spatial Data Analysis - Symbolic and Relational Data Analysis.
Applications of Classification or Data Analysis in:
Archaeology - Biology - Chemistry - Cognition - Communication - Consumer Science - Credit Scoring - Environmental Science - Finance - Image Analysis - Industry - Medicine - Quality Control - Sensory Analysis - Social Sciences - Textual Analysis.

Qualora l'autore non riesca a classificare il proprio contributo nelle voci previste, può specificare un tema di classificazione diverso da quelli indicati.