Guest editors' introduction: Special Issue from ECML PKDD 2009

Harnessing the strengths of anytime algorithms for constant data streams

Data Mining and Knowledge Discovery

Two-way analysis of high-dimensional collinear data

Data Mining and Knowledge Discovery

A fast ensemble pruning algorithm based on pattern mining process

Data Mining and Knowledge Discovery

RTG: a recursive realistic graph generator using random typing

Data Mining and Knowledge Discovery

Taxonomy-driven lumping for sequence mining

Data Mining and Knowledge Discovery

Identifying the components

Data Mining and Knowledge Discovery

On subgroup discovery in numerical domains

Data Mining and Knowledge Discovery

Combining instance-based learning and logistic regression for multilabel classification

Machine Learning

Cost-sensitive learning based on Bregman divergences

Machine Learning

Hybrid least-squares algorithms for approximate policy evaluation

Machine Learning

A self-training approach to cost sensitive uncertainty sampling

Machine Learning

Learning multi-linear representations of distributions for efficient inference

Machine Learning

On structured output training: hard cases and an efficient alternative

Machine Learning

Sparse kernel SVMs via cutting-plane training

Machine Learning