Quotation Yeshchenko, Anton, Mendling, Jan, Di Ciccio, Claudio, Polyvyanny, Artem. 2020. VDD: A Visual Drift Detection System for Process Mining. In CEUR Workshop Proceedings, Hrsg. Massimiliano de Leoni, University of Padua (Italy) Alessandro Sperduti, University of Padua (Italy), 31-34. Padua (Italy): None.


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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

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Contribution to conference proceedings
Language English
Title VDD: A Visual Drift Detection System for Process Mining
Title of whole publication CEUR Workshop Proceedings
Editor Massimiliano de Leoni, University of Padua (Italy) Alessandro Sperduti, University of Padua (Italy)
Page from 31
Page to 34
Location Padua (Italy)
Year 2020
URL https://www.semanticscholar.org/paper/VDD%3A-A-Visual-Drift-Detection-System-for-Process-Yeshchenko-Mendling/ce7ecc593803816dc155618fc037e353cc317116
Open Access Y
Open Access Link https://minerva-access.unimelb.edu.au/handle/11343/258905

Associations

People
Yeshchenko, Anton (Details)
Mendling, Jan (Details)
Di Ciccio, Claudio (Former researcher)
Polyvyanny, Artem (Former researcher)
Organization
Institute for Data, Process and Knowledge Management (AE Mendling) (Details)
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