Dealing with Imperfect Data by RS-ILP

Authors:
Chunnian Liu;Ning Zhong
Affiliations:
-;-
Venue:
Proceedings of the Joint JSAI 2001 Workshop on New Frontiers in Artificial Intelligence
Year:
2001

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Abstract

Rough Set theory and Granular Computing (GrC) have a great impact on the study of intelligent information systems. This paper investigates the feasibility of applying Rough Set theory and Granular Computing (GrC) to deal with imperfect data in Inductive Logic Programming (ILP). We propose a hybrid approach, RS-ILP, to deal with some kinds of imperfect data which occur in real-world applications.