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

arXiv (Cornell University)

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.

Authors 4

1. Marco Pegoraro Aachen Department of Computer Science

   RWTH Aachen University

   Affiliation as printed

   Department of Computer Science , RWTH Aachen , Aachen , Germany

2. Merih Seran Uysal
3. Tom-Hendrik Hülsmann Aachen Department of Computer Science

   RWTH Aachen University

   Affiliation as printed

   Department of Computer Science , RWTH Aachen , Aachen , Germany

4. Wil M. P. van der Aalst Aachen Department of Computer Science

   RWTH Aachen University

   Affiliation as printed

   Department of Computer Science , RWTH Aachen , Aachen , Germany