Big data analytics using semi‐supervised learning methods
Published in Quality and Reliability Engineering International • Jun 6, 2018
NobleIDNI7P68W05R55S90
Authors:,
Flavia Dalia Frumosu
Murat Külahçı
Abstract
Abstract The expanding availability of complex data structures requires development of new analysis methods for process understanding and monitoring. In manufacturing, this is primarily due to high‐frequency and high‐dimensional data available through automated data collection schemes and sensors. H...
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