Uncertain Case Identifiers in Process Mining: A User Study of the Event-Case Correlation Problem on Click Data

• URL: http://arxiv.org/abs/2204.04164v1
• Date: Fri, 8 Apr 2022 16:19:16 GMT
• Title: Uncertain Case Identifiers in Process Mining: A User Study of the Event-Case Correlation Problem on Click Data
• Authors: Marco Pegoraro, Merih Seran Uysal, Tom-Hendrik H\"ulsmann, Wil M.P. van der Aalst
• Abstract summary: We show a case and user study for event-case correlation on click data, in the context of user interaction events from a mobility sharing company. We apply a novel method to aggregate user interaction data in separate user sessions-interpreted as cases-based on neural networks.
• Score: 0.4014524824655105
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Among the many sources of event data available today, a prominent one is user interaction data. User activity may be recorded during the use of an application or website, resulting in a type of user interaction data often called click data. An obstacle to the analysis of click data using process mining is the lack of a case identifier in the data. In this paper, we show a case and user study for event-case correlation on click data, in the context of user interaction events from a mobility sharing company. To reconstruct the case notion of the process, we apply a novel method to aggregate user interaction data in separate user sessions-interpreted as cases-based on neural networks. To validate our findings, we qualitatively discuss the impact of process mining analyses on the resulting well-formed event log through interviews with process experts.

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