Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery

Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery features a unique hybrid publishing model that's as comprehensive as a major reference, as current as a journal, and much more…

WIREs Data Mining and Knowledge Discovery:

• publishes ongoing series of reviews written by leading experts
  
• integrates the many disciplines that contribute to data mining and knowledge discovery
  
• covers the field completely in a highly structured, accessible format
  
• provides systematic, comprehensive updating of all published content
  
• offers citable articles that will quality for full abstracting, indexing and ISI impact factors

Editorial Commentary

Introducing WIREs data mining and knowledge discovery
Witold Pedrycz

Overview

Multivariate image mining
Julia Herold, Christian Loyek and Tim W. Nattkemper

Classification and regression trees
Wei-Yin Loh

Applications of tensor (multiway array) factorizations and decompositions in data mining
Morten Mørup

Accelerating data mining workloads: current approaches and future challenges in system architecture design
Alok N. Choudhary et al.

Advanced Review

The use of classification trees for bioinformatics
Xiang Chen, Minghui Wang and Heping Zhang

Rough clustering
Pawan Lingras and Georg Peters

Focus Articles

Robust statistics for outlier detection
Peter J. Rousseeuw and Mia Hubert

Multivariate random forests
Mark Segal and Yuanyuan Xiao

Data mining of functional RNA structures in genomic sequences
Shu-Yun Le and Bruce A. Shapiro

Registering for complimentary online access

Institutions can register for complimentary online access to WIREs Data Mining and Knowledge Discovery. Institutions may also request one complimentary print subscription when registering for complimentary online access. There is no obligation to subscribe in subsequent years if you register for complimentary access. Institutions retain online access to content published during the complimentary period, with or without a paid subscription in subsequent years. Institutions can register at wileyonlinelibrary.com/newjournals-optin.

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*Thomson Reuters ISI Citation Report