CLADAG2025: 15-th Scientific Meeting Classification and Data Analysis Group - International Scientific Joint Meeting of the Italian and Dutch/Flemish Classification Societies University of Naples Federico II, Conference Center of the Monte S. Angelo campus, Via Cinthia Naples, Italy, September 8-10, 2025

University of Naples Federico II organizes the 15-th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society. This is a very special meeting as it coincides with the 

International Scientific Joint Meeting of the Italian and Dutch/Flemish Classification Societies.

Venue

University of Naples Federico II, Conference Center of the Monte S. Angelo campus, Via Cinthia, 80126 Naples - Italy.  https://cladag2025.unina.it/

Submission Guidelines

Authors wishing to present a contributed paper are required to submit an abstract of maximum 500 words to https://easychair.org/conferences/?conf=cladag2025. Abstract sumbission deadline: May 31, 2025.

In addition, authors may submit a paper (minimum length of 8 pages, maximum length of 12 pages) highlighting development in supervised and unsupervised statistical tools and models in the Springer volume Advances in Supervised and Unsupervised Statistical Data Analysis, belonging to the Springer Series in Studies in Classification, Data Analysis, and Knowledge Organization. 

Areas of interest include, but are not limited to, clustering, pattern recognition, fuzzy methods, proximity structure analysis, mixture models, decision trees, data analysis, model selection, and textual classification. Proposals for critical and innovative applications of these types of models to real data, highlighting the fundamental contribution of statistical science to modern data analysis, are particularly welcome.

Deadline for paper submission to the Springer volume “Advances in Supervised and Unsupervised Statistical Data Analysis”: March 1, 2025. 

Conference Topics

Clustering and Classification Theory

T1. Fuzzy Methods – T2. Hierarchical Clustering – T3. Non Hierarchical Clustering – 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

Applied 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

Data Analysis and Data Science

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. Mixture Models – 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. Item Response Theory – D17. Nonparametric and Semiparametric Regression – D18. Functional Data Analysis D19. Data Mining – D20. High-dimensional data – D21. Deep Learning – D22. Machine Learning – D23. Statistical Learning

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 Clustering and Classification – S2. Data Visualization – 
S3. Algorithms for Data Analysis

PhD Student/Young Researcher Paper Award

The award is addressed to PhD students and young researchers (scholars who have been earning phd for no more than 6 years as of August 31, 2025) working in the area of Classification, Clustering and related topics who submit, as the first author, a paper to the CLADAG Conference 2025, applying for this competition. The paper is essentially the work of the PhD student/Young researcher. The paper should involve original methodological research, a novel application, or software related to some aspect of Classification, Clustering, Data Science and related topics. 

The competition candidates must submit a paper to the Springe book on “Advances in Supervised and Unsupervised Statistical Data Analysis” as described within the call for papers by March 1, 2025. The deadline for nomination is June 1, 2025.

Keynote Speakers

• Eva Ceulemans
• Dimitris Karlis
• Regina Liu
• Giovanni Camillo Porzio
• Peter Rousseeuw

Committees

Scientific Committee

• Michele La Rocca (chair)
• Mark de Rooij (chair)
• Andreas Alfons
• Zsuzsa Bakk
• Ruggero Bellio
• Paula Brito
• Carlo Cavicchia
• Petros Dellaportas
• Katrijn van Deun
• Jeffrey Duriex
• Stefania Fensore
• Luca Frigau
• Sylvia Frühwirth-Schnatter
• Sabrina Giordano
• Claire Gormley
• Leonardo Grilli
• Krzysztof Jajuga
• Mattieu  Marbac
• Agustin Mayo
• Volodymir Melnikov
• Marta Nai Ruscone
• Roberto Rocci
• Kim de Roover
• Laura Sangalli
• Michel van de Velden
• Tim Verdonk
• Ron Wehrens
• Adalbert Wilhelm

Local Organizing Committee

• Antonio D'Ambrosio (chair)
• Enrico Cafaro
• Christian Capezza
• Rosanna Cataldo
• Luca Coraggio
• Anna Crisci
• Luca D'Aniello
• Rosa Fabbricatore
• Agostino Gnasso
• Alfonso Iodice D'Enza
• Carmela Iorio
• Lucio Palazzo
• Giuseppe Pandolfo
• Alfonso Piscitelli
• Germana Scepi
• Rosaria Simone
• Maria Spano
• Giulia Vannucci

Contact

All questions about submissions should be emailed to infocladag2025@unina.it

Detailed information about the conference can be found HERE.