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As we all know, the recent hot-issued technologies are bigdata mining and deep-learning technologies. The smart factory industry is also adopting them for implementing their operationalization intelligence and for eventually realizing the proactive operations of the smart factories. The figure gives a conceptual view of convergence of data-intensive process mining technology and deep-learning technology by using the smart factory operational process enactment event log datasets and realizing the proactive operationalization in the smart factories. In this paper, we proposed an algorithmic preprocessing approach to be used in mining the operationalization processes from a time-series smart factory big dataset collected from a smart factory. |
IEEE/ICACT20220383 Slide.04
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