Abstract
Abstract The covering algorithm is an often-used rule induction method. The main shortcoming of this algorithm is its inability to handle continuous-type data. The present research proposes a novel method that integrates genetic algorithms with covering algorithms in support of rule induction dealing with both continuous and categorical data types. We illustrate this method and demonstrate its effectiveness with data obtained directly from the flight data recorders of Boeing 747-400 airplanes. The results indicate that the adapted covering algorithm is feasible as a complete rule induction method.
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