A data mining approach considering missing values for the optimization of semiconductor-manufacturing processes

► Abundant data have become readily available owing to information technologies. ► A large amount of missing values may occur in the data set of real processes. ► m-PRIM handles the missing-values problem in process optimization systematically. ► The m-PRIM methodology is validated through a semiconductor manufacturing process.