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Segmenting Bank Customers via RFM Model and Unsupervised Machine Learning
In the field of banking, the approach of offering all of the services to all the existing customers at the same time does not always work.
Generating Time-Based Label Refinements to Discover More Precise Process Models
Refinements of sensor level event labels suggested by domain experts have been shown to enable discovery of more precise and insightful process models.
On Generation of Time-based Label Refinements
Finding the right event labels to enable application of process mining techniques is however far from trivial, as simply using the triggering sensor as the label for sensor events results in uninformative models that allow for too much behavior (overgeneralizing).
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