VDD: A Visual Drift Detection System for Process Mining

Anton Yeshchenko, Jan Mendling, Claudio Di Ciccio, Artem Polyvyanny

Publication: Chapter in book/Conference proceedingContribution to conference proceedings

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Abstract

Research on concept drift detection has inspired recent advancements of process mining and expanding the growing arsenal of process analysis tools. What has so far been missing in this new research stream are techniques that support comprehensive process drift analysis in terms of localizing, drillingdown, quantifying, and visualizing process drifts. In our research, we built on ideas from concept drift, process mining, and visualization research and present a novel web-based software tool to analyze process drifts, called Visual Drift Detection (VDD). Addressing the comprehensive analysis requirements, our tool is of benefit to researchers and practitioners in the business intelligence and process analytics area. It constitutes a valuable aid to those who are involved in business process redesign projects
Original languageEnglish
Title of host publicationCEUR Workshop Proceedings
Editors Massimiliano de Leoni, University of Padua (Italy) Alessandro Sperduti, University of Padua (Italy)
Place of PublicationPadua (Italy)
Pages31 - 34
Publication statusPublished - 2020

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