Data mining and knowledge discovery in chemical processes: Effect of alternative processing techniques

Data mining and knowledge discovery in chemical processes: Effect of alternative processing techniques

Data mining and knowledge discovery (DMKD) focuses on extracting useful information from data. In the chemical process industry, tasks such as process monitoring, fault detection, process control, optimization, etc., can be achieved using DMKD. However, the selection of the appropriate method for ea...

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Bibliographic Details
Main Authors: Luis A. Briceno-Mena, Miriam Nnadili, Michael G. Benton, Jose A. Romagnoli
Format: Article
Language:English
Published: Cambridge University Press 2022-01-01
Series:Data-Centric Engineering
Subjects:
Data mining
knowledge discovery
machine learning
process monitoring
unsupervised learning
Online Access:https://www.cambridge.org/core/product/identifier/S2632673622000211/type/journal_article

Internet

https://www.cambridge.org/core/product/identifier/S2632673622000211/type/journal_article

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