Zhang Quanling
Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, 310027, P.R. China
Gu Yong
Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, 310027, P.R. China
Xu Weihua
Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, 310027, P.R. China
Hong Yanping
Zhejiang Supcon Software Co., Ltd., Hangzhou, 310053, China
Zhao Lujun
Zhejiang Supcon Software Co., Ltd., Hangzhou, 310053, China
ABSTRACT
Data Mining (DM) is the process of extracting desirable knowledge or patterns from existing databases or dataware house for specific purposes. Much research has been done focusing on its application to retail sales, but it is seldom applied in process industry. Based on the characteristic of process industry and association rules with multiple minimum supports, a new algorithm of data mining which can be applied in process industry is proposed and a total solution for data mining system in triazophos synthesis process is suggested. The solution is composed of DCS-based control system, real-time database, data preprocessing, data mining and visualization of data-mining results. Its application in triazophos synthesis process brings about more economic benefits for enterprise and is highly appraised by science and technology department of Zhejiang province, PRC.
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How to cite this article
Zhang Quanling, Gu Yong, Xu Weihua, Hong Yanping and Zhao Lujun, 2013. Data Mining System for Triazophos Synthesis Process. Information Technology Journal, 12: 5264-5269.
DOI: 10.3923/itj.2013.5264.5269
URL: https://scialert.net/abstract/?doi=itj.2013.5264.5269
DOI: 10.3923/itj.2013.5264.5269
URL: https://scialert.net/abstract/?doi=itj.2013.5264.5269
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