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Conference Themes
Researchers interested in classification, clustering, data analysis,
multivariate analysis and computational statistics
and their applications are invited to participate.
Classification Theory
T1. Fuzzy Methods
T2. Hierarchical Classification
T3. Non
Hierarchical Classification
T4. Pattern
Recognition
T5. Bayesian
Classification
T6. Classification
of Multiway and Functional Data
T7. Probabilistic
Methods for Clustering
T8. Consensus
of Classifications
T9. Spatial
Clustering
T10. Validity
of Clustering
T11. Neural
Networks and Machine Learning Methods for Classification
T12. Genetic
Algorithms
T13. Classification
with Constraints
T14. Mixture
and Latent Class Models for Clustering.
Multivariate
Data Analysis
D1. Categorical
Data Analysis
D2. Correspondence Analysis
D3. Biplots
D4. Factor Analysis and Dimension Reduction Methods
D5. Discrimination
and Classification
D6. Multiway Methods
D7. Symbolic Data Analysis
D8. Non
Linear Data Analysis
D9. Bayesian Multivariate Analysis
D10. Multilevel Analysis
D11. Covariance
Structure Analysis
D12. Partial
Least Squares
D13. Regression and Classification Trees
D14. Robust Methods and Data Diagnostics
D15. Spatial
Data Analysis
D16. Graphical Methods
D17. Nonparametric and Semiparametric Regression
D18. Data
Mining.
Proximity
Structure Analysis
P1. Multidimensional
Scaling
P2. Similarities
and Dissimilarities
P3. Unfolding
and Other Special Scaling Methods
P4. Multiway Scaling.
Software
Developments
S1. Algorithms
for Classification
S2. Data
Visualization
S3. Algorithms
for Multivariate Data Analysis.
Applied
Classification and Data Analysis
A1. Classification
of Textual Data
A2. Data
Analysis in Economics and Finance
A3. Data
Analysis in Environmental Sciences
A4. Classification
in Medical Science
A5. Cognitive
Sciences and Classification
A6. Classification
in Biology and Ecology
A7. Data
Analysis in Demography
A8. Classification
of Microarray Data
A9. Data
Analysis for Customer Satisfaction and Service Quality Evaluation
A10. Applications
of Data and Web Mining.
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