Scientific discovery: computational explorations of the creative process
Scientific discovery: computational explorations of the creative process
Using domain knowledge to aid scientific theory revision
Proceedings of the sixth international workshop on Machine learning
Conflict Resolution as Discovery in Particle Physics
Machine Learning
The right representation for discovery: finding the conservation of momentum
ML92 Proceedings of the ninth international workshop on Machine learning
A symbolic algorithm for computing coefficients' accuracy in regression
ML92 Proceedings of the ninth international workshop on Machine learning
Scientific discovery and simplicity of method
Artificial Intelligence - Special issue on scientific discovery
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Autonomous Learning from the Environment
Autonomous Learning from the Environment
Introduction: Cognitive Autonomy in Machine Discovery
Machine Learning
An Integrated Framework for Empirical Discovery
Machine Learning
Constructing Models of Hidden Structure
ISMIS '91 Proceedings of the 6th International Symposium on Methodologies for Intelligent Systems
Automated Discovery of Empirical Equations from Data
ISMIS '91 Proceedings of the 6th International Symposium on Methodologies for Intelligent Systems
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We investigate the bidirectional links between knowledge discovery in databases (KDD) and automated scientific discovery. Both are concerned with discovery of knowledge, but they differ in many ways. We contrast them and explain why they differ. Then we propose the interchange of ideas and ways of thinking between automated scientific discovery and KDD, so that results in each area can influence the other.