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Data Mining and Knowledge Discovery


Data Mining and Knowledge Discovery publishes original technical papers in both the research and practice of data mining and knowledge discovery, surveys and tutorials of important areas and techniques, and detailed descriptions of significant applications.

Journal Home:  Journal Homepage
Editor-in-Chief:  Johannes F├╝rnkranz

The premier technical publication in the field, Data Mining and Knowledge Discovery is a resource collecting relevant common methods and techniques and a forum for unifying the diverse constituent research communities.

Print ISSN:

Print ISSN:  1384-5810

Electronic ISSN:  1573-756X

Abstracting and Indexing:  Science Citation Index Expanded. Scopus.
Imapct Factor 2020:   3.670
Subject Area and Category:  Computer Sciences, Library and Information Science, Electronics and Telecommunications
Publication Frequency:  Bimonthly
H Index:  104
Best Quartile:

Q1:  Information Systems




Journal Home:  Journal Homepage
Cite Score:  8.3
SNIP:  2.726
Journal Rank(SJR):  0.975
Publisher & Country:

Publisher:  Springer

Country:  Netherlands