The Use of Background Knowledge in Decision Tree Induction
Machine Learning
Ontology-guided knowledge discovery in databases
Proceedings of the 1st international conference on Knowledge capture
Ontology Learning for the Semantic Web
Ontology Learning for the Semantic Web
Logical Calculi for Knowledge Discovery in Databases
PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
A Machine Learning Tool Designed for a Model-Based Knowledge Acquisition Approach
Proceedings of the 7th European Workshop on Knowledge Acquisition for Knowledge-Based Systems
Ontological Engineering
Applied Intelligence
Ontology Learning and Population: Bridging the Gap between Text and Knowledge - Volume 167 Frontiers in Artificial Intelligence and Applications
Semantic Analytical Reports: A Framework for Post-processing Data Mining Results
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
The GUHA method and its meaning for data mining
Journal of Computer and System Sciences
A framework for mining meaningful usage patterns within a semantically enhanced web portal
Proceedings of the Third C* Conference on Computer Science and Software Engineering
Domain-driven KDD for mining functionally novel rules and linking disjoint medical hypotheses
Knowledge-Based Systems
Using ontologies in semantic data mining with SEGS and g-SEGS
DS'11 Proceedings of the 14th international conference on Discovery science
Advanced Mining of Association Rules over Periodic Snapshots in a Data Warehouse
Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies
| Hi-index | 0.00 |
The roles of ontologies in KDD are potentially manifold. We track them through different phases of the KDD process, from data understanding through task setting to mining result interpretation and sharing over the semantic web. The underlying KDD paradigm is association mining tailored to our 4ft-Miner tool. Experience from two different application domains—medicine and sociology—is presented throughout the paper. Envisaged software support for prior knowledge exploitation via customisation of an existing user-oriented KDD tool is also discussed.