The international journal Advances in Data Analysis and Classification is designed as a forum for high standard publications on research and applications concerning the extraction of knowable aspects from whatever types of data. It publishes articles on topics as, e.g., Structural, quantitative, or statistical approaches for the analysis of data, Advances in classification, clustering, and pattern recognition methods, Strategies for modeling complex data and mining large data sets,
Journal Home:  Journal Homepage
Editor-in-Chief:  Maurizio Vichi ,Andrea Cerioli,Hans A. Kestler
scope: Structural, quantitative, or statistical approaches for the analysis of data,Advances in classification, clustering, and pattern recognition methods,Strategies for modeling complex data and mining large data sets,Methods for the extraction of knowledge from whatever type of data, and Applications of advanced methods in specific domains of practice.
Print ISSN:  1862-5347
Electronic ISSN:  1862-5355
Abstracting and Indexing:  Scopus Science Citation Index EXpanded
Imapct Factor 2021:  1.944
Subject Area and Category:  Computer Science Computer Science Applications Mathematics Applied Mathematics Statistics and Probability
Publication Frequency:  
H Index:  32
Q1:  
Q2:  Statistics and Probability
Q3:  
Q4:  
Cite Score:  3.3
SNIP:  1.64
Journal Rank(SJR):  0.852
Latest Articles:   Latest Articles in Advances in Data Analysis and Classification
Guidelines for Authors: Advances in Data Analysis and Classification Author Guidelines
Paper Submissions: Paper Submissions in Advances in Data Analysis and Classification
Publisher:  Springer Verlag
Country:  Germany