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- W2989776507 abstract "For production line level analysis such as bottleneck analysis, distributed manufacturing data must be integrated and cleansed according to domain knowledge. As a result, these data are normally analysed by experts, and could be time-consuming. Although many methods have been proposed to support such progress, there is still no system designed for users without detailed domain knowledge. Hence, we develop a comprehensive data processing platform automatically integrating and cleansing raw manufacturing data according to analysis context specified by user. By applying our proposal to different scenarios and products in a real-life automotive parts factory, we illustrate that the platform can be used by anyone with basic knowledge about target product. As a result, various forms of value can be extracted by even ordinary workers." @default.
- W2989776507 created "2019-12-05" @default.
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- W2989776507 date "2019-12-02" @default.
- W2989776507 modified "2023-09-24" @default.
- W2989776507 title "Towards a Comprehensive Data Processing Platform" @default.
- W2989776507 cites W2098250644 @default.
- W2989776507 doi "https://doi.org/10.1145/3368235.3369373" @default.
- W2989776507 hasPublicationYear "2019" @default.
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