Comprehensive Process Drift Analysis with the Visual Drift Detection Tool

Yeshchenko, Anton ORCID: https://orcid.org/0000-0002-5346-8358 and Di Ciccio, Claudio ORCID: https://orcid.org/0000-0001-5570-0475 and Mendling, Jan ORCID: https://orcid.org/0000-0002-7260-524X and Polyvyanyy, Artem ORCID: https://orcid.org/0000-0002-7672-1643 (2019) Comprehensive Process Drift Analysis with the Visual Drift Detection Tool. In: Proceedings of the ER Forum and Poster & Demos Session 2019. 2469, CEUR Workshop Proceedings, Salvador, Brazil. pp. 108-112. ISBN 1613-0073

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Abstract

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.

Item Type: Book Section
Additional Information: This work is partially funded by the EU H2020 program under MSCA-RISE agreement 645751 (RISE BPM). Artem Polyvyanyy was partly supported by the Australian Research Council Discovery Project DP180102839.
Keywords: Process mining, Time series Analysis, Change point detection, Declarative process models
Divisions: Departments > Informationsverarbeitung u Prozessmanag. > Informationswirtschaft > Mendling
Version of the Document: Published
Depositing User: Gertraud Novotny
Date Deposited: 29 Nov 2019 09:26
Last Modified: 29 Nov 2019 09:26
Related URLs:
FIDES Link: https://bach.wu.ac.at/d/research/results/92904/
URI: https://epub.wu.ac.at/id/eprint/7332

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