Looking Beyond Activity Labels: Mining Context-Aware Resource Profiles Using Activity Instance Archetypes

Abstract

Efficient resource management is a critical success factor for all businesses. Correct insights into actual resource profiles, i.e. groups of resources performing similar activity instances, is important for successful knowledge and (human) resource management. To this end, organisational mining, a subfield of Process Mining, focuses on techniques to extract such resource profiles from event logs. However, existing techniques ignore contextual factors that impact how and by whom an activity is performed. This paper introduces the novel method ResProMin to discover context-aware resource profiles from event logs. In contrast to the state-of-the-art, this method builds upon the notion of activity instance archetypes, which incorporates the activity instance’s context. An evaluation of the method on real-life event logs demonstrates its feasibility and potential to uncover valuable business insights.