Machine learning and data mining in manufacturing
作者：
Highlights：
• Providing an extensive overview about the use of machine learning in manufacturing.
• Reviewing state-of-the-art studies relevant to data mining in manufacturing.
• Presenting manufacturing tasks grouped under supervised and unsupervised learning.
• Addressing a number of research questions that are unanswered in literature.
• Discussing benefits, challenges and possible further research directions in the area.
摘要
•Providing an extensive overview about the use of machine learning in manufacturing.•Reviewing state-of-the-art studies relevant to data mining in manufacturing.•Presenting manufacturing tasks grouped under supervised and unsupervised learning.•Addressing a number of research questions that are unanswered in literature.•Discussing benefits, challenges and possible further research directions in the area.
论文关键词：Machine learning,Data mining,Manufacturing,Classification,Clustering
论文评审过程：Received 3 February 2019, Revised 2 September 2020, Accepted 24 September 2020, Available online 29 September 2020, Version of Record 9 October 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.114060
