Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

Cover image for Vol. 7 Issue 5

Edited By: Witold Pedrycz

Impact Factor: 2.111

ISI Journal Citation Reports © Ranking: 2016: 29/104 (Computer Science Theory & Methods); 53/133 (Computer Science Artificial Intelligence)

Online ISSN: 1942-4795

Recently Published Issues

See all

Journal Resources

 Read a free sample issue
 Most cited articles
 Recently published articles
 Resources for Authors

Sign up for email newsletters

Sign up for content alerts

By subscribing to Wiley Statistics newsletters, you'll receive updates from all relevant journals in the field, including exclusive free content. Sign-up now!

Follow us on

@Wiley_Stats

out WIREs Data Mining and Knowledge Discovery

WIREs 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.

Read the journal's full aims and scope
.


Impact Factor

WIREs Data Mining and Knowledge Discovery new Impact Factor is 1.759*

The journal ranks #21 in the Computer Science Theory and Methods and #48 in Computer Science Artificial Intelligence.

* 2015 Release of Journal Citation Reports® Source: Thomson Reuters 2014 Citation Data


News & Announcements

Your institute may have registered for complimentary access to WIREs Data Mining and Knowledge Discovery. From the 2013 Volume your institute will need a subscription. Make sure your library knows you want to retain access to this title.

Recommend to your librarian

SEARCH

SEARCH BY CITATION