FuSTM: ProM plugin for fuzzy similar tasks mining based on entropy measure

Abstract

SummaryOrganizational perspectives of process mining consist of organizing and classifying the organization in terms of missions, roles as well as the interactions between the performers. Social mining is a branch of process mining that centralizes on construction social graphs based on the information held in the process. However, standard clustering approaches are not always proper to business processes as they are known for their complex, flexible, and intrinsic nature. Therefore, fuzzy clustering is capable of identifying indeterminate frontiers that hard clustering omits to identify. In this article, we propose a plugin that applies entropy‐based fuzzy clustering for mining similar tasks using event data. The plugin is intended to be integrated into ProM6 framework as a package. It is the first plugin that uses fuzzy clustering for mining social networks and adopts data‐driven documents library to visualize graphs. The results of the plugins' applicability are illustrated using a case study of a Dutch financial institute.