Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Journal Title

Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

WIRES DATA MIN KNOWL

ISSN / eISSN

1942-4787 / 1942-4795

Aims and Scope

The objectives of WIREs DMKD are to (a) present the current state of the art of data mining and knowledge discovery through an ongoing series of reviews written by leading researchers, (b) capture the crucial interdisciplinary flavor of the field by including articles that address the key topics from the differing perspectives of data mining and knowledge discovery, including a variety of application areas in technology, business, healthcare, education, government and society and culture, (c) capture the rapid development of data mining and knowledge discovery through a systematic program of content updates, and (d) encourage active participation in this field by presenting its achievements and challenges in an accessible way to a broad audience. 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.

Subject Area

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

COMPUTER SCIENCE, THEORY & METHODS

CiteScore

20.40 View Trend

CiteScore Ranking

Category	Quartile	Rank
Computer Science - General Computer Science	Q1	#7/233

Web of Science Core Collection

Science Citation Index Expanded (SCIE)	Social Sciences Citation Index (SSCI)
Indexed	-

Category (Journal Citation Reports 2023)	Quartile
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE - SCIE	Q1
COMPUTER SCIENCE, THEORY & METHODS - SCIE	Q1

H-index

31

Country/Area of Publication

ENGLAND

Publisher

John Wiley and Sons Inc.

Annual Article Volume

31

Open Access

NO

Contact

ONE MONTGOMERY ST, SUITE 1200, SAN FRANCISCO, USA, CA, 94104