Quotation Yeshchenko, Anton, Di Ciccio, Claudio, Mendling, Jan, Polyvyanny, Artem. 2021. Visual Drift Detection for Sequence Data Analysis of Business Processes. IEEE Transactions on Visualization and Computer Graphics. 1-1.




Event sequence data is increasingly available in various application domains, such as business process management, software engineering, or medical pathways. Processes in these domains are typically represented as process diagrams or flow charts. So far, various techniques have been developed for automatically generating such diagrams from event sequence data. An open challenge is the visual analysis of drift phenomena when processes change over time. In this paper, we address this research gap. Our contribution is a system for fine-granular process drift detection and corresponding visualizations for event logs of executed business processes. We evaluated our system both on synthetic and real-world data. On synthetic logs, we achieved an average F-score of 0.96 and outperformed all the state-of-the-art methods. On real-world logs, we identified all types of process drifts in a comprehensive manner. Finally, we conducted a user study highlighting that our visualizations are easy to use and useful as perceived by process mining experts. In this way, our work contributes to research on process mining, event sequence analysis, and visualization of temporal data.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal IEEE Transactions on Visualization and Computer Graphics
Citation Index SCI
Language English
Title Visual Drift Detection for Sequence Data Analysis of Business Processes
Year 2021
Page from 1
Page to 1
Reviewed? Y
URL https://ieeexplore.ieee.org/abstract/document/9316994
DOI http://dx.doi.org/10.1109/TVCG.2021.3050071
Open Access Y
Open Access Link https://arxiv.org/pdf/2011.09130.pdf


Yeshchenko, Anton (Details)
Di Ciccio, Claudio (Former researcher)
Mendling, Jan (Details)
Polyvyanny, Artem (Former researcher)
Institute for Data, Process and Knowledge Management (AE Sabou) (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
1161 Human-computer interaction (Details)
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