Application of data mining in industrial engineering
Liu JH(刘继海); Xiao JC(肖金超); Zheng, Xiaoxiao; Li, Lin
作者部门广州中国科学院沈阳自动化研究所分所
会议名称International Symposium on Systems and Computer Technology, ISSCT 2014
会议日期November 15-17, 2014
会议地点Shanghai, China
会议录名称Systems and Computer Technology - Proceedings of the 2014 International Symposium on Systems and Computer Technology, ISSCT 2014
出版者CRC Press
出版地Boca Raton, FL
2014
页码153-159
收录类别EI
EI收录号20161402181896
产权排序1
ISBN号978-1-138-02872-2
摘要With the rapid development of industrial production technology, it needs intelligent machine learning, patterns recognition, artificial intelligent and others, to model, classify and predict for industrial areas. However, the limitation of traditional methods becomes increasingly obvious in analyzing the complex production. Data mining, as a main part of the machine learning, can analyze the large volume, random and fuzzy data, which is also widely used in industrial engineering areas, such as quality control, fault detection and other fields. This paper reviews data mining applications in industrial production in recent 5 years, including briefly introducing the main algorithms of data mining and summarizing how to use data mining to achieve production efficiency and cost conservation in these fields. This survey aims to gain an overall profile and do help for the development in future applications.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/18504
专题广州中国科学院沈阳自动化研究所分所
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, Guangzhou, China
2.Department of Management, University of Shanghai for Science and Technology, Shanghai, China
推荐引用方式
GB/T 7714
Liu JH,Xiao JC,Zheng, Xiaoxiao,et al. Application of data mining in industrial engineering[C]. Boca Raton, FL:CRC Press,2014:153-159.
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