Data Mining Analysis of a Complex Polymer Process

By successfully analyzing a complex polymer process, it is shown that detailed data mining analyses can be applied to large multistage processes. It allows the quick identification of hidden non‐local effects which are difficult to discover with other methods. The combination of subgroup discovery a...

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Bibliographic Details
Published in:Chemical engineering & technology 2004-09, Vol.27 (9), p.950-953
Main Authors: Burghaus, R., Leineweber, D., Lippert, J.
Format: Article
Language:English
Subjects:
Polymers
Process data
Process optimization
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Summary:By successfully analyzing a complex polymer process, it is shown that detailed data mining analyses can be applied to large multistage processes. It allows the quick identification of hidden non‐local effects which are difficult to discover with other methods. The combination of subgroup discovery and neural network validation within an iterative analysis workflow helps to quickly narrow down on a “meaningful” set of independent rules describing the target attribute of interest. The introduced data mining methodology can be directly applied to other processes.
ISSN:0930-7516
1521-4125
DOI:10.1002/ceat.200403206