Proceedings of the 9th International Conference on Operations Research and Enterprise Systems 2020
DOI: 10.5220/0009103202180226
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Weighted k-Nearest Neighbor Adaptations to Spare Part Prediction Business Scenario at SAP System

Abstract: In the context of intelligent maintenance, spare part prediction business scenario seeks promising return-oninvestment (ROI) by radically diminishing the hidden costs at after-sales customer services. However, the classification of class-imbalanced data with mixed type features at this business scenario is not straightforward. This paper proposes a hybrid classification model that combines C4.5, Apriori algorithms and weighted k-Nearest Neighbor (kNN) adaptations to overcome potential shortcomings observed at … Show more

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