Dear allstat subscribers,
The journal Advances in Data Analysis and Classification will publish a
Special Issue on *Advances in Clustering, Classification and Related
Methods*. This is associated to the conference
/CLADAG 2023: 14th Scientific Meeting of the Italian Classification and
Data Analysis Group,/
but it is an open call; /conference participation is not required/ (the
conference was held in September 2023, so participation isn't possible
anymore).
This Special Issue aims at gathering selected papers in different areas
related to /new developments in clustering, classification and related
methods/. Topics of particular interest may include, but are not limited to:
- Clustering and classification for complex data (big data, multi-way
data, etc.)
- Functional data analysis
- Latent variable modeling
- Machine learning and AI for clustering and classification
- Network analysis
- Robust modeling
All manuscripts submitted to this Special Issue will undergo the
/classical double-blind reviewing process of the journal/. Manuscripts
should be submitted using the “Submit manuscript” button on the ADAC
website https://www.springer.com/journal/11634, leading to the
electronic submission system of the journal.
*_Below the keywords, please write “CLADAG 2023 SPECIAL ISSUE”_*
Important dates:
Submission of full papers for the Special Issue: February 15, 2024
(earlier submission is encouraged).
Notification to authors: June 30, 2024 (tentative). Final papers:
September 30, 2024 (tentative).
Guest Editors:
Prof. Paolo Giordani
Department of Statistical Sciences
Sapienza University of Rome
P.le Aldo Moro 5 – 00185 Rome, Italy
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Prof. Christian Hennig
Department of Statistical Sciences ‘‘Paolo Fortunati’’
University of Bologna
Via Belle Arti 41 – 40126 Bologna, Italy
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Prof. Julien Jacques
ERIC lab
University of Lumiere Lyon 2
5 avenue Pierre Mendès France 69500 Bron
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Prof. Carla Rampichini
Department of Statistics, Informatics, Applications ‘‘Giuseppe Parenti’’
University of Florence
Viale Morgagni 59 – 50134 Florence, Italy
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--
Christian Hennig
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https://www.unibo.it/sitoweb/christian.hennig/en
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