Scaling Up Inductive Logic Programming by Learning from Interpretations
Data Mining and Knowledge Discovery
A Study of Two Sampling Methods for Analyzing Large Datasets with ILP
Data Mining and Knowledge Discovery
Scalability Issues in Inductive Logic Programming
ALT '98 Proceedings of the 9th International Conference on Algorithmic Learning Theory
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