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- W2789276676 abstract "Abstract Data mining in automated production systems provide high potential to increase the Overall Equipment Effectiveness. Nevertheless, data of such machines/plants include specific characteristics regarding the variance and distribution of the dataset. For modelling product quality prediction, these characteristics have to be analysed to interpret the results correctly. Therefore, an approach for the analysis of variance and distribution of datasets is proposed. The evaluation of this approach validates the developed guidelines, which identify the reasons for inconsistent prediction results based on two different datasets of the same production system." @default.
- W2789276676 created "2018-03-29" @default.
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- W2789276676 date "2018-04-01" @default.
- W2789276676 modified "2023-09-26" @default.
- W2789276676 title "Assessment of variance & distribution in data for effective use of statistical methods for product quality prediction" @default.
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- W2789276676 doi "https://doi.org/10.1515/auto-2017-0115" @default.
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