Machine learning methods for intelligent decision support An introduction
Learning by problem processors: Adaptive decision support systems
Performing organizational learning with machine apprentices
Machine learning for intelligent support of conflict resolution
Analogical reasoning and case-based learning in model management systems
The accuracy of concepts learned from induction
Applying conceptual clustering to knowledge-bases construction
Assessing decision heuristics using machine learning
Supporting complex real-time decision making through machine learning
Developing knowledge structures: A comparison of a qualitative-response model and two machine-learning algorithms
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