Generation of Process Models for Dyeing Process using Association Rule Mining Algorithms and Weka Library

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Provided by: International Journal of Computer Applications in Engineering Sciences (IJCAES)
Topic: Data Management
Format: PDF
In this paper, the authors have identified that the process mining algorithms is not sufficient for the dyeing process, because of its dynamic nature. Hence the better process models need to be generated; so, the alternative process model is generated using association rule mining algorithms and Weka Library. Therefore, this paper aims at evaluating and analyzing the usefulness and applications of the association rule mining algorithms and as it was implemented to obtain simpler process models for the dyeing domain.
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