Design of a self-evolving decision support system
Journal of Management Information Systems
Explorations in parallel distributed processing: a handbook of models, programs, and exercises
Explorations in parallel distributed processing: a handbook of models, programs, and exercises
Applying machine learning to model management in decision support systems
Decision Support Systems
Case-based planning: viewing planning as a memory task
Case-based planning: viewing planning as a memory task
Knowledge discovery in databases: an overview
AI Magazine
A composite approach to inducing knowledge for expert systems design
Management Science
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Inside Case-Based Reasoning
Inductive Learning for Risk Classification
IEEE Expert: Intelligent Systems and Their Applications
Explanation-Based Generalization: A Unifying View
Machine Learning
Machine Learning
Integrating data mining with case-based reasoning for chronic diseases prognosis and diagnosis
Expert Systems with Applications: An International Journal
The effect of human pattern-recognition abilities in improving DSS performance
Computers and Industrial Engineering
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Developing intelligent information systems has been a focus of recent research. A major component that makes a system intelligent is its learning capabilities. A learning system can adapt itself to new environments and improve its performance with minimum intervention from the developer. In this paper, we review major learning paradigms, examine the role of learning in intelligent information systems, and discuss potential research issues in integrating learning capabilities in information systems design.