An Internet-based data mining engine in a steel factory installation
A Lopez, J Sirgo, R Blanco, R Janez… - EFTA 2003. 2003 …, 2003 - ieeexplore.ieee.org
A Lopez, J Sirgo, R Blanco, R Janez, N Abajo, R Pérez, M Tarro
EFTA 2003. 2003 IEEE Conference on Emerging Technologies and …, 2003•ieeexplore.ieee.orgData 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.
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.
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.
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