Advances in Data Analysis and Classification - Special Issue on New Methodologies in Clustering and Classification for Complex and/or Big Data
The journal Advances in Data Analysis and Classification will publish a Special Issue on New methodologies in Clustering and Classification for Complex and/or Big Data, associated to the conference
IFCS 2022: Classification and Data Science in the Digital Age.
This Special Issue aims at gathering excellent papers in different areas related to modern statistical approaches for the analysis of complex and/or big data. Topics of particular interest may include, but are not limited to:
Methodological innovations in the statistical model-based approaches for classification, clustering, dimension reduction and analysis of complex and/or big data.Methodological innovations in the fields of statistical learning devoted to classification, clustering, dimension reduction and analysis of complex and/or big data.Robust modeling for data classification, clustering, dimension reduction and analysis of complex and/or big data.Developments and applications of these methods in modern and relevant domains such as bioinformatics, biostatistics, epidemiology, biology, business, finance, marketing, image analysis, pattern recognition, process control, correlated and functional data, symbolic data, social networks, policy making, etc.Development of specific computational and graphical tools.
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 http://www.springer.com/journal/11634, leading to the electronic submission system of the journal.
Important dates:
Submission of full papers for the Special Issue: November 30th, 2022 (earlier submission is encouraged).Notification to authors: April 1st, 2023 (tentative).Final papers: June 30, 2023 (tentative).
Guest Editors:
Prof. Paula Brito
Faculdade de Economia
Universidade do Porto
Rua Dr. Roberto Frias – 4200-464 Porto, Portugal
Prof. Andrea Cerioli (Lead Guest Editor)
Dipartimento di Scienze Economiche e Aziendali
Università di Parma
Via Kennedy 6 – 43125 Parma, Italy
Prof. Luis Angel García Escudero
Departamento de Estadística e Investigación Operativa
Universidad de Valladolid
Paseo del Cauce – Valladolid, Spain
Prof. Gilbert Saporta
Conservatoire National des Arts et Métiers
292 rue Saint Martin - 75141 Paris cedex 03, France