Using Background Knowledge as a Bias to Control the Rule Discovery Process

Authors:
Ning Zhong;Juzhen Dong;Setsuo Ohsuga
Affiliations:
-;-;-
Venue:
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Year:
2000

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Abstract

This paper investigates a way of using background knowledge in the rule discovery process. This technique is based on Generalization Distribution Table (GDT for short), in which the probabilistic relationships between concepts and instances over discrete domains are represented. We describe how to use background knowledge as a bias to adjust the prior distribution so that the better knowledge can be discovered.