Autonomous creation of process cause and effect relationships: metrics for evaluation of the goodness of linguistic rules

Autonomous knowledge discovery requires metrics of rule base quality. This work recommends metrics useful for selecting good cause-and-effect rules from naturally occurring dynamic data such as found in historian databases in the chemical process industry.

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