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Data Mining and Knowledge Discovery Journal - Springer | 2020 Impact Factor:3.670|Cite Score:8.3|Q1

About:

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

scope: 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:  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

Q2:  

Q3:  

Q4:  

Cite Score:  8.3

SNIP:  2.726

Journal Rank(SJR):  0.975

Publisher:  Springer

Country:  Netherlands