University of Twente Student Theses
Determining Case Identifiers in Event Logs from Hoists in Construction Sites to Estimate the Correlation between Usage Rates and BPMNs
Steenbergen, E.J. (2024) Determining Case Identifiers in Event Logs from Hoists in Construction Sites to Estimate the Correlation between Usage Rates and BPMNs.
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| Abstract: | The use of process mining is rapidly growing. Even so, not every business has its data log infrastructure ready for process mining. One of the three main components of discovering a process model is a case identifier, which groups events into a sequence. It is often the case that businesses do not have case identifiers to group events in their event log. This is also the case for a hoist rental company, whose goal is to determine the usage rate of their hosts from their event data. If there is a correlation between the usage rates and the process-mined models, this could increase the efficiency of conformance checking. This research investigates if there is a correlation between a hoist's usage rate and its process models by creating cases for an event log that is devoid of case identifiers. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/101048 |
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