DocumentCode :
398829
Title :
An Internet-based data mining engine in a steel factory installation
Author :
Lòpez, A. ; Sirgo, J. ; Blanco, R. ; Janez, R. ; Abajo, N. ; Perez, Roxana ; Tarro, M.
Author_Institution :
Electr. Eng. Dept., Oviedo Univ., Spain
Volume :
1
fYear :
2003
fDate :
16-19 Sept. 2003
Firstpage :
292
Abstract :
Data mining studies need a set of algorithms to analyze the data and a way to administer the data under study. In the industrial environment this data (specially low level data) is usually stored at several local databases spread over the factory installations. This paper describes a novel attempt to set up a data mining engine in a steel factory installation based on new information technologies (Internet network, application servers, etc.) to facilitate data mining studies involving such scattered data. Its main benefits and drawbacks are addressed.
Keywords :
Internet; data mining; distributed databases; steel industry; Internet network; application servers; data mining engine; industrial environment; information technologies; local databases; scattered data; steel factory installation; Algorithm design and analysis; Data analysis; Data mining; Databases; IP networks; Information technology; Internet; Production facilities; Search engines; Steel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Technologies and Factory Automation, 2003. Proceedings. ETFA '03. IEEE Conference
Print_ISBN :
0-7803-7937-3
Type :
conf
DOI :
10.1109/ETFA.2003.1247720
Filename :
1247720
Link To Document :
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