Archives of Data Science Series A
Archives of Data Science Series A publishes papers of short to medium length (approximately 8 – 20 pages) in the emerging field of data science. It covers regular research articles from the field of Data Science and special issues on conferences, workshops and joint activities of the German Classification Society/Gesellschaft für Klassifikation (GfKL) and its cooperating partners and organisations.
Archives of Data Science Series A is the first of a bundle of journals for the field of data science. All publications are available both as free OpenAccess articles as well as printed version orderable via KIT Scientific Publishing (KSP).
Peer Review Policy
Every submitted paper is reviewed by at least two reviewers.
Accepted final papers will be published as fully reviewed online-first version that are freely available and already citable with the note Online-First in the reference. Final papers are published in cooperation with KIT Scientific Publishing (KSP) as an electronic version. Each issue of the journal can also be ordered as print-on-demand version.
Copyright for articles published in this journal is retained by the authors, with first publication rights granted to the journal. By virtue of their appearance in this open access journal, articles are free to use, with proper attribution, in educational and other non-commercial or commercial settings.
By submitting an article the authors agree that their work is published (on acceptance) under the terms of the Creative Commons Attribution-ShareAlike (CC CY-SA) license.
For details, we refer to the FAQ of KIT Scientific Publishing (in German).
In alphabetic order:
A. Geyer-Schulz (KIT)
E. Hüllermeier (Paderborn University)
H.A. Kestler (University of Ulm)
BFor problems when preparing a submission and with the submission and reviewing processes of the journal please contact: email@example.com
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Principal Contact: Prof. Dr. Andreas Geyer-Schulz
Karlsruhe Institute of Technology
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