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Wiley Interdisciplinary Reviews-data Mining and Knowledge Discovery


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

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:

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)




Journal Home:  Journal Homepage
Cite Score:  13.5
SNIP:  4.893
Journal Rank(SJR):  1.506
Publisher & Country:

Publisher:   Wiley Periodicals

Country:   USA