President’s Invited Session
| Berthold Lausen, Theodore Chadjipadelis | Data Science Education |
Invited Sessions
Invited sessions on the following topics have been arranged:
| Theofanis Exadaktylos, Theodore Chadjipadelis (GSDA/ECPR) | Analysis of European Parliament Elections
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| José Fernando Vera & Eva Boj del Val (SEIO-AMyC) | New developments in clustering and scaling data |
| Christian Hennig (BCS) | Philosophy relevant to classification and data science |
| Christian Hennig (IFCS Cluster Benchmarking Task Force) | Neutral Benchmarking Studies of Clustering |
| David Hunter (BCS) | Statistical theory of cluster analysis |
| Krzysztof Jajuga (SKAD) | Data Analysis in finance |
| Salvatore Ingrassia (CLADAG) | Advances in Mixture Modeling |
| Alfonso Iodice D’Enza, Angelos Markos (GSDA) | Dimension reduction and clustering |
| Nataša Kejžar, Simona Korenjak-Černe, Andrej Srakar (SSS) | Advances in classification analysis for complex data – compositional and symbolic approaches |
| Koji Kurihara (JCS) | Clustering for spatio-temporal data and its visualization |
| Paul McNicholas (CS) | Clustering, Classification and Data Analysis via Mixture Models |
| Angela Montanari (CLADAG) | Supervised classification with imprecise labels and complex data |
| Iannis Papadimitriou (GSDA) | Developments of Data Analysis (Analyse des données) in Greece |
| Jozef Pociecha (SKAD) | Classification methods in economics and business |
| Mark de Rooij (VOC) | Crossroads of Statistical Learning and Psychometrics |
| Niel le Roux (SASA-MDAG) | Classification, visualisation and dimension reduction |
| Thanos Thanopoulos (GSDA/HSA) | Official Statistics |
| Cristina Tortora (GSDA) | Clustering categorical and mixed-type data |
| Aglaia Kalamatianou (Panteion University, Athens) | Data mining techniques and classification methods in Social Sciences |
| Theophilos Papadimitriou, Periklis Gogas (GSDA) | Emerging Methodologies in Economics and Finance |
Contributed papers from scholars and practitioners are invited on any of the topics below as well as on related issues:
History/Philosophy, Methodological Advances in Clustering and Classification, Exploratory Data Analysis and Data Visualization, Official Statistics, Data Analysis in Economics and Business, Symbolic and Complex Data Analysis, Data Analysis in Biological and Medical Sciences, Statistical Modeling of Psychological Processes, Statistics and Data Analysis in the Social Sciences, Data Analysis in Education and Learning Analytics, Analysis of Network Data / Social Networks