A Purpose-Guided Log Generation Framework

Abstract

Process mining is a prominent discipline that collects a variety of techniques fulfilling different mining purposes by gathering information from event logs. This involves the continuous necessity of event logs suitable for testing mining techniques with respect to different purposes. Unfortunately, event logs are hard to find and usually contain noise that can influence the results of a mining technique. In this paper, we propose a framework for generating event logs tailored for different mining purposes, e.g., process discovery and conformance checking. Event logs generation and tuning are made out through business model simulations guided by the mining purpose under consideration. Beyond defining the framework, we implemented it as a tool, which has been also used for the validation of the approach we propose.