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This paper introduces a hybrid approach, namely Hybrid Artificial Neural Network-Naive Bayes classifier, for two-class imbalanced datasets classification. An imbalanced dataset in semiconductor manufacturing test process is chosen as a case study. Outputs prediction in semiconductor manufacturing is helpful for engineer to identify good/bad products earlier and to avoid the bad units from being processed...
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