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New publication from Wiley 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 factor
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
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