Theories for mutagenicity: a study in first-order and feature-based induction
Artificial Intelligence - Special volume on empirical methods
Combining Horn rules and description logics in CARIN
Artificial Intelligence
{\cal A}{\cal L}-log: Integrating Datalog and Description Logics
Journal of Intelligent Information Systems
Discovery of frequent DATALOG patterns
Data Mining and Knowledge Discovery
ILP '96 Selected Papers from the 6th International Workshop on Inductive Logic Programming
ILP '99 Proceedings of the 9th International Workshop on Inductive Logic Programming
Spatial associative classification at different levels of granularity: a probabilistic approach
PKDD '04 Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases
Propositionalization-based relational subgroup discovery with RSD
Machine Learning
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Discovery of spatial association rules in geo-referenced census data: A relational mining approach
Intelligent Data Analysis
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Contemporary product design based on 3D CAD tools aims at improved efficiency using integrated engineering environments with access to databases of existing designs, associated documents and enterprise resource planning. The ultimate goal of this work is to achieve design process improvements by applying state-of-the-art ILP systems for relational data mining of past designs, utilizing commonly agreed design ontologies as background knowledge. This paper demonstrates the utility of relational data mining for virtual engineering of product designs through the detection of frequent design patterns, enabled by the proposed baseline integration of hierarchical background knowledge (a CAD ontology) using sorted refinements.