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Data Mining Technology in Manufacturing Research

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成果类型:
期刊论文、会议论文
作者:
Tan, Jun*
通讯作者:
Tan, Jun
作者机构:
[Tan, Jun] Cent South Univ Forestry, Coll Comp & Informat Engn, Changsha, Hunan, Peoples R China.
通讯机构:
[Tan, Jun] C
Cent South Univ Forestry, Coll Comp & Informat Engn, Changsha, Hunan, Peoples R China.
语种:
英文
关键词:
Data mining;Manufacturing;Manufacturing process;Manufacturing system;Product design
期刊:
Advanced Materials Research
ISSN:
1022-6680
年:
2013
卷:
616-618
页码:
2034-2037
会议名称:
2nd International Conference on Energy, Environment and Sustainable Development (EESD 2012)
会议论文集名称:
Advanced Materials Research
会议时间:
OCT 12-14, 2012
会议地点:
Jilin, PEOPLES R CHINA
会议主办单位:
[Tan, Jun] Cent South Univ Forestry, Coll Comp & Informat Engn, Changsha, Hunan, Peoples R China.
会议赞助商:
NE Dianli Univ, Shanghai Univ Elect Power
出版地:
LAUBLSRUTISTR 24, CH-8717 STAFA-ZURICH, SWITZERLAND
出版者:
TRANS TECH PUBLICATIONS LTD
ISBN:
978-3-03785-552-2
机构署名:
本校为第一且通讯机构
院系归属:
计算机与信息工程学院
摘要:
Knowledge is the most valuable asset of a manufacturing enterprise. Competition among manufacturers has been transformed into competition among knowledge. Their core competitiveness is improved only by strengthening the management of knowledge. Data mining is the most powerful tool which discovers knowledge from large amounts of data. This paper reviews applications of data mining in manufacturing including product de...

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