Mining Causal Knowledge from Diagnostic Knowledge

Authors:
Xiangdong An;Nick Cercone
Affiliations:
Department of Computer Science and Engineering, York University, Toronto, Canada ON M3J 1P3 and Alpha Global IT Inc., Toronto, Canada ON M3B 2W7;Department of Computer Science and Engineering, York University, Toronto, Canada ON M3J 1P3
Venue:
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Year:
2008

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Abstract

Diagnostic knowledge is the basis of many non-Bayesian medical systems. To explore the advantages of their Bayesian counterparts, we need causal knowledge. This paper investigates how to mine causal knowledge from the diagnostic knowledge. Experiments indicate the proposed mining method works pretty well.