University of Twente Student Theses
Evaluation of Subpopulation Process Comparison Techniques for Process Mining
Alecu, V.A. (2024) Evaluation of Subpopulation Process Comparison Techniques for Process Mining.
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| Abstract: | Process Mining (PM) has emerged as a vital discipline at the intersection of business process management and data analysis, offering insights into organisational processes from event log data. From this perspective, Conformance Checking (CC) is a key component, which checks if real-life executions align with intended process models, thus helping to maintain compliance and operational integrity. If the analysis is instead directed towards disjoint subgroups of a data set, subpopulation process comparison (SPC) focuses CC on identifying the procedural similarities and differences between such segments. This paper aims to serve as a comprehensive comparative study, focusing on how various CC methods can be utilised to conduct subpopulation process comparison, in order to address existing literature gaps. By examining the unique characteristics of these methods, assessing their differences, and exploring their collective efficacy in real-world applications, this study seeks to enhance the understanding of SPC. The goal is to evaluate the comparative strengths and weaknesses of these methods and investigate potential synergies when applied concurrently. |
| 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/100839 |
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