Applying inductive learning to enhance knowledge-based expert systems
Decision Support Systems
Unknown attribute values in induction
Proceedings of the sixth international workshop on Machine learning
A composite approach to inducing knowledge for expert systems design
Management Science
Inductive Learning for Risk Classification
IEEE Expert: Intelligent Systems and Their Applications
Machine Learning
A General Framework for Induction and a Study of Selective Induction
Machine Learning
A Mathematical Theory of Communication
A Mathematical Theory of Communication
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This paper presents a layered approach to inductive learning that improves the stability and accuracy of the knowledge acquisition method. The methodology is applied to international financial analysis where the comparison of risk structures of different economic environments is critical. The results demonstrate the efficacy of the learning approach for financial decision support. The highly explicit decision structures are especially useful for comparing national differences. The method's utility for decision integration is also discussed.