Faster methods for random sampling
Communications of the ACM
Adaptive pattern recognition and neural networks
Adaptive pattern recognition and neural networks
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Machine Learning
Making Better Use of Global Discretization
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Simplifying decision trees: A survey
The Knowledge Engineering Review
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This paper presents various balanced sampling strategies for building decision trees in order to target rare groups. A new coefficient to compare targeting performances of various learning strategies is introduced. A real life application of targeting specific bank customer group for marketing actions is described. Results shows that local sampling on the nodes while constructing the tree requires small samples to achieve the performance of processing the complete base, with dramatically reduced computing times.