Expert system technology is a major breakthrough of AI (artificial intelligence). This technology is especially useful when data describing the process are available for the data mining (knowledge acquisition). In this paper we present the rule set induction from a data set describing the process of hop extraction. Furthermore, we describe the methodology of using these rules to predict the process behavior for new, unseen situations. Thus, the expert system, containing such rule sets, may be used for monitoring the process and prediction. Two data mining methods were used for data mining: a LERS rule induction method using the MLEM2 algorithm and the generation of rule sets based on belief networks.
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