[Forum SIS] Call for papers - ADAC Special Issue on “MODELS AND LEARNING FOR CLUSTERING AND CLASSIFICATION"

[Salvatore Ingrassia]

Apologies for cross-posting
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ADVANCES IN DATA ANALYSIS AND CLASSIFICATION (ADAC)
Call for Papers for the Special Issue on
“MODELS AND LEARNING FOR CLUSTERING AND CLASSIFICATION"
Guest Editors:
Salvatore INGRASSIA (University of Catania, Italy)
Julien JACQUES (Laboratoire ERIC, France)
Weixin YAO (University of California, USA)

On the occasion of the incoming fifth workshop MBC2 "Models and Learning in Clustering and Classification" (http://mbc2.unict.it), 
as usual the journal Advances in Data Analysis and Classification will publish a Special Issue on "Models and Learning for Clustering and Classification".
This Special Issue aims at gathering papers in different areas includes model-based clustering, mixture models, statistical learning 
in the framework of the supervised and unsupervised classification. The potential of such modeling approaches has become more and more apparent in the very last decades.

The increasing tendency now to collect datasets with a large number of units and variables of both numerical and categorical type in almost any area of scientific research, provides new challenges in statistical learning and model-based clustering, and necessitates the development of new approaches that take into account the extraction of the essential features and are able to represent underlying hidden structures and relations in data. Advances in this field should provide a principled statistical approach to a variety of still open and crucial questions like variable selection, robust classification, co-clustering, choice of the number of model components, model selection criteria, cluster recovery from noisy data, clustering and classification for high-dimensional data and functional data, dimensionality reduction, robust estimation of parameters, efficient algorithms for parameter estimation, etc.

Topics of particular interest may include, but are not limited to: 
• Methodological innovations in all fields of statistical learning and model-based approaches for classification and clustering.
• Developments and applications of these methods in specific domains such as bioinformatics, biostatistics, business, data mining, epidemiology, finance, image analysis, machine learning, marketing, medicine, pattern recognition, etc. 
• Development of specific computational and graphical tools.
• Robust modeling for data classification.

Important dates:
• Submission of full papers for the Special Issue: December 15th, 2020 (earlier submission is encouraged).
• Notification to authors: March 31, 2021 (tentative).
• Final papers: June 30, 2021 (tentative).

Manuscripts should be submitted by the electronic submission system from Springer’s ADAC website www.springer.com/11634, 

Best regards,

Salvatore Ingrassia


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Salvatore Ingrassia, Ph.D. 
Professor of Statistics
Department of Economics and Business 
Data Science Research Group
University of Catania (Italy)

Corso Italia, 55 - 95129 Catania, Italy 
Tel. +39 095 7537732
Fax +39 095 7537610
e-mail: s.ingrassia at unict.it 
http://www.dei.unict.it/docenti/salvatore.ingrassia
http://www.datasciencegroup.unict.it/content/salvatore-ingrassia
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