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Wiley Interdisciplinary Reviews-data Mining and Knowledge Discovery Journal | 2020 Impact Factor:7.250|Cite Score:13.5|Q1

About:

Wiley Interdisciplinary Reviews-data Mining and Knowledge Discovery part of the innovative WIREs series of publications, comes as a unique and timely publishing undertaking that caters to a broad audience of researchers and practitioners. It is designed to appeal both to experts and to newcomers to the field, as well as to senior undergraduate and graduate students and all those who wish to be kept fully informed about the most recent developments in the areas of Knowledge Discovery in Databases and Data Mining.

Journal Home:  Journal Homepage

Editor-in-Chief:  Witold Pedrycz

scope: The content of WIREs DMKD will be useful to upper-level undergraduate and postgraduate students, to teaching and research professors in academic programs, and to scientists and research managers in industry.

Print ISSN:  1942-4787

Electronic ISSN:  1942-4795

Abstracting and Indexing:  Science Citation Index Expanded. Scopus.

Imapct Factor 2020:  7.250

Subject Area and Category:  Computer Sciences

Publication Frequency:  Bimonthly

H Index:  47

Best Quartile:

Q1:  Computer Science (miscellaneous)

Q2:  

Q3:  

Q4:  

Cite Score:  13.5

SNIP:  4.893

Journal Rank(SJR):  1.506

Publisher:   Wiley Periodicals

Country:   USA