2012
DOI: 10.1007/978-3-642-28108-2_15
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Applying Clustering in Process Mining to Find Different Versions of a Business Process That Changes over Time

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Cited by 60 publications
(29 citation statements)
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“…Our diagnosis model uses the Re-execute Petri-net to traverse the event logs based the process model. The result clearly show that the abnormal cases are tackled and evenly show us the concrete mistakes which is the most advantage over other diagnosis model [15][17] [18]. The shortcoming of the model is that the model is built on…”
Section: Discussionmentioning
confidence: 93%
“…Our diagnosis model uses the Re-execute Petri-net to traverse the event logs based the process model. The result clearly show that the abnormal cases are tackled and evenly show us the concrete mistakes which is the most advantage over other diagnosis model [15][17] [18]. The shortcoming of the model is that the model is built on…”
Section: Discussionmentioning
confidence: 93%
“…Important issue is also practical design of timed models of processes and rules [67]. As we focus on analysis of a single process model, additional research for analyzing process models of processes changing over time can be an important issue [68]. Table V SUITABILITY OF REPRESENTING TIME PATTERNS [38] …”
Section: Discussionmentioning
confidence: 99%
“…A distinctive feature of this approach is that instead of assuming the causes that could explain the variation in process instances (e.g., due to different time periods as noted in [23]) -a task that requires intensive domain knowledge -clusters are created based on a simple similarity metric and variability causes are induced a posteriori (that is, we gain knowledge about the domain). An additional contribution is that the whole method is centred on the robustness of the final solution.…”
Section: Related Workmentioning
confidence: 99%