General and Efficient Multisplitting of Numerical Attributes
Machine Learning
Data mining criteria for tree-based regression and classification
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
An integrated approach for scaling up classification and prediction algorithms for data mining
SAICSIT '02 Proceedings of the 2002 annual research conference of the South African institute of computer scientists and information technologists on Enablement through technology
Linear-Time Preprocessing in Optimal Numerical Range Partitioning
Journal of Intelligent Information Systems - Special issue: A survey of research questions for intelligent information systems in education
Families of splitting criteria for classification trees
Statistics and Computing
On the quest for easy-to-understand splitting rules
Data & Knowledge Engineering
Efficient Multisplitting Revisited: Optima-Preserving Elimination of Partition Candidates
Data Mining and Knowledge Discovery
Dynamic feature selection for hardware prediction
Journal of Systems Architecture: the EUROMICRO Journal
On the Behaviour of Information Measures for Test Selection
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Tight Optimistic Estimates for Fast Subgroup Discovery
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Moving towards efficient decision tree construction
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
An analysis of reduced error pruning
Journal of Artificial Intelligence Research
Predicting box-office success of motion pictures with neural networks
Expert Systems with Applications: An International Journal
Multi-objective clustering ensemble with prior knowledge
BSB'07 Proceedings of the 2nd Brazilian conference on Advances in bioinformatics and computational biology
A new node splitting measure for decision tree construction
Pattern Recognition
Compact ensemble trees for imbalanced data
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Finding conclusion stability for selecting the best effort predictor in software effort estimation
Automated Software Engineering
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