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2021
Conference Paper
Title
Sub-Model Freezing During Incremental Process Discovery in Cortado
Abstract
Conventional process discovery algorithms are fully automated and work as a black box from the user’s perspective. Event data is fed into the discovery algorithm, and a process model is returned. Interactive process discovery is about breaking this black-box approach of conventional process discovery and involving the user during the discovery, i.e., adopting the principles of hybrid intelligence in process discovery. The central idea is to exploit the user’s knowledge of the process to be discovered within the discovery phase to obtain better models. The software tool Cortado allows for the incremental discovery of a process model based on user-selected process behavior. In this paper, we present the implementation of sub-model freezing, i.e., a novel form of user interaction during incremental process discovery, in Cortado.