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- W3035596312 abstract "Abstract Modern machine learning methods have the potential to supply industrial product lifecycle management (PLM) with automated classification of product components. However, there is only little work in the literature on this topic. We propose to apply supervised machine learning on component meta-data. By analysing an industrial case study, we identify requirements and opportunities for automating classification, e.g. in part numbers and product structures. We validate our novel approach through a classification experiment comparing four machine learning methods on a realistic component dataset." @default.
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- W3035596312 date "2020-05-01" @default.
- W3035596312 modified "2023-09-26" @default.
- W3035596312 title "TOWARDS AUTOMATED CLASSIFICATION OF PRODUCT DATA BASED ON MACHINE LEARNING" @default.
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- W3035596312 doi "https://doi.org/10.1017/dsd.2020.139" @default.
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