Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data
作者： Jinlin Zhu , Zhiqiang Ge , Zhihuan Song , Furong Gao
DOI: 10.1016/J.ARCONTROL.2018.09.003
关键词:
摘要: Industrial process data are usually mixed with missing data and outliers which can greatly affect the statistical explanation abilities for traditional data-driven modeling methods. In this …
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