Titlebook: Data Mining and Knowledge Discovery for Process Monitoring and Control; Xue Z. Wang Book 1999 Springer-Verlag London 1999 Artificial Intel

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https://doi.org/10.1007/978-1-4615-1327-8rmation and database technologies. With the increasing use of databases the need to be able to digest large volumes of data being generated is now critical. It is estimated that only 5%-10% of commercial databases have ever been analysed [23]. As Massey and Newing [24] indicated that database techno

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Mansi Patel,Jeel Padiya,Mangal Singhis clearly different from the kind of learning as learning to ride a bicycle. In supervised learning, each example used is typically described by a number of attributes. The attributes are divided into inputs and outputs, and the learning process is to develop a model mapping the multiple inputs and

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Borka Jerman-Bla?i?,Toma? Klobu?arontrol of process variables. Some of the variables including flowrate, temperatures, pressures and levels can be easily monitored on-line with cost effective and reliable measuring devices. Some variables, however, are often analysed off-line in laboratories because they are either too expensive or

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