Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Copyright © 2013 Wiley Periodicals, Inc.
Edited By: Witold Pedrycz
Online ISSN: 1942-4795
Recently Published Issues
Most cited articles
WIREs Data Mining and Knowledge Discovery has been accepted by Thomson Reuters. Check out our top-cited papers below:
Classification and regression trees
Robust statistics for outlier detection
Peter J. Rousseeuw, Mia Hubert
Hans-Peter Kriegel1, Peer Kröger, Jörg Sander, Arthur Zimek
Multivariate image mining
Julia Herold, Christian Loyek, Tim W. Nattkemper
About 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 (KDD) and Data Mining (DM).
To read a complete overview please click here.
Latest News for WIREs Data Mining and Knowledge Discovery
WIREs Data Mining and Knowledge Discovery has been accepted by Thomson Reuters. The journal will be covered in the Science Citation Index Expanded and Current Contents: Engineering, Computing & Technology.
Free Sample Issue Available
Volume 1, Issue 2 of WIREs Data Mining and Knowledge Discovery is available online as a free sample issue. Click the below image to see the issue's full table of contents.
Articles in this issue include:
Mining proteomic data for biomedical research
Laura L. Elo, Benno Schwikowski
Knowledge discovery in data streams with regression tree methods
Dima Alberg, Mark Last, Abraham Kandel
Protecting Sensitive knowledge in association patterns mining
Guanling Lee, Yi Chun Chen
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