IC2: an interval based characteristic concept learner

Authors:
Pramod K. Singh
Affiliations:
School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia
Venue:
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Year:
2005

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Abstract

Most classification algorithms suffer from an inability to detect instances of classes which are not present in the training set. A novel approach for characteristic concept rule learning called IC2 is proposed in this paper.