Automatic refinement of expert system knowledge bases
Automatic refinement of expert system knowledge bases
Knowledge reuse among diagnostic problem-solving methods in the shell-kit D3
International Journal of Human-Computer Studies
An Algorithm for Multi-relational Discovery of Subgroups
PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
Subgroup Discovery with CN2-SD
The Journal of Machine Learning Research
Agile Development Of Diagnostic Knowledge Systems (Diski)
Agile Development Of Diagnostic Knowledge Systems (Diski)
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Gray box robustness testing of rule systems
KI'06 Proceedings of the 29th annual German conference on Artificial intelligence
SD-map: a fast algorithm for exhaustive subgroup discovery
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
Subgroup mining for interactive knowledge refinement
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
HepatoConsult: a knowledge-based second opinion and documentation system
Artificial Intelligence in Medicine
Internet-based decision-support server for acute abdominal pain
Artificial Intelligence in Medicine
Hi-index | 0.00 |
This paper presents an approach for rapid knowledge capture using subgroup-discovery techniques. The method enables the acquisition of scoring rules - a knowledge representation that is easy to understand and to maintain. Furthermore, the method features an incremental refinement step that can be applied for fine-tuning of the learned relations. We provide a case study demonstrating the applicability of the presented method using a knowledge base from the biological domain.