Short communication: A new relational learning system using novel rule selection strategies

Authors:
Mahmut Uludag;Mehmet R. Tolun
Affiliations:
European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK;Cankaya University, Department of Computer Engineering, Balgat, 06530 Ankara, Turkey
Venue:
Knowledge-Based Systems
Year:
2006

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Abstract

This paper describes a new rule induction system, rila, which can extract frequent patterns from multiple connected relations. The system supports two different rule selection strategies, namely the select early and select late strategies. Pruning heuristics are used to control the number of hypotheses generated during the learning process. Experimental results are provided on the mutagenesis and the segmentation data sets. The present rule induction algorithm is also compared to the similar relational learning algorithms. Results show that the algorithm is comparable to similar algorithms.