Comprehensive Process Drift Analysis with the Visual Drift Detection Tool

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

Publication: Chapter in book/Conference proceedingContribution to conference proceedings

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Recent research has introduced ideas from concept drift into process mining to enable the analysis of changes in business processes over time. This stream of research, however, has not yet addressed the challenges of drift categorization, drilling-down, and quantification. In this tool demonstration paper, we present a novel software tool to analyze process drifts, called Visual Drift Detection (VDD), which fulfills these requirements. The tool is of benefit to the researchers and practitioners in the business intelligence and process analytics area, and can constitute a valuable aid to those who are involved in business process redesign endeavors.
Original languageEnglish
Title of host publicationProceedings of the ER Forum and Poster & Demos Session 2019
Editors José Ignacio Panach, Renata S.S. Guizzardi, Daniela Barreiro Claro
Place of PublicationSalvador, Brazil
PublisherCEUR Workshop Proceedings
Pages108 - 112
Publication statusPublished - 2019

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 102022 Software development
  • 102
  • 102001 Artificial intelligence
  • 102013 Human-computer interaction
  • 502
  • 502050 Business informatics

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