id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-024866-9og7pivv	Lepenioti, Katerina	Machine Learning for Predictive and Prescriptive Analytics of Operational Data in Smart Manufacturing	2020-04-29		.txt	text/plain	4065	202	45	The current paper exploits the recent advancements of (deep) machine learning for performing predictive and prescriptive analytics on the basis of enterprise and operational data aiming at supporting the operator on the shopfloor. In this direction, the recent advancements of machine learning can have a substantial contribution in performing predictive and prescriptive analytics on the basis of enterprise and operational data aiming at supporting the operator on the shopfloor and at extracting meaningful insights. The current paper proposes an approach for predictive and prescriptive analytics on the basis of enterprise and operational data for smart manufacturing. 2 presents the background, the challenges and prominent methods for predictive and prescriptive analytics of enterprise and operational data for smart manufacturing.	./cache/cord-024866-9og7pivv.txt	./txt/cord-024866-9og7pivv.txt