Christopher G. J. van Dun

TL;DR: This work validated RDB2Log's design against design objectives extracted from literature and competing artifacts, evaluated its design and performance with process mining experts, implemented a prototype with a defined set of quality metrics, and applied it in laboratory settings and in a real-world case study.

TL;DR: This work presents an automated approach for detecting and quantifying timestamp-related issues (timestamp imperfections) in an event log and paves the way for a systematic and interactive enhancement of timestamp imperfections during the data pre-processing phase of Process Mining projects.

TL;DR: In this paper , the authors present an overview of the nine major research problems for the Business Process Management discipline, including a motivation for why these problems are worth investigating and an overview may serve the purpose of inspiring both novice and advanced scholars who are interested in the radical new ideas for the analysis, design, and management of work processes using information technology.

TL;DR: In this paper , the authors proposed a business process improvement (BPI) approach based on GANs to support the creation of BPI ideas and improve the creativity of process designers.

TL;DR: In this article , the authors present a user-guided and semi-automated approach for detecting and quantifying timestamp-related issues in event logs, and define 15 metrics related to timestamp quality across four levels of abstraction (event, activity, trace, log) and four quality dimensions (accuracy, completeness, consistency, uniqueness).