Identifying Cohorts that Differ in their Behaviour: Tool Support

Sander J. J. Leemans, Shiva Shabaninejad, Kanika Goel, Hassan Khosravi, Shazia W. Sadiq, Moe Thandar Wynn
2020 International Conference on Conceptual Modeling  
Process mining is a specialised form of data analytics that aims to provide data-driven improvement recommendations, derived from event logs. These event logs contain information about the execution of real-world processes, which may be complex. Cohort identification recommends drill-down filters for process mining, based on differences in process. In this paper, we describe its integration in three process mining tools: as a stand-alone ProM plug-in, as part of the visual Miner and (planned) as part of Course Insights.
dblp:conf/er/LeemansS0KSW20a fatcat:3hbh4vz6mzf7bmmndzgodlcnbe