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.

Comprehensive process drift analysis with the visual drift detection tool / Yeshchenko, A.; Di Ciccio, C.; Mendling, J.; Polyvyanyy, A.. - 2469:(2019), pp. 108-112. (Intervento presentato al convegno 2019 Joint ER Forum and Poster and Demos Session on Publishing Papers with CEUR-WS, ER Forum and ER Poster and Demos Session 2019 tenutosi a Salvador; Brazil).

Comprehensive process drift analysis with the visual drift detection tool

Di Ciccio C.;
2019

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.
2019
2019 Joint ER Forum and Poster and Demos Session on Publishing Papers with CEUR-WS, ER Forum and ER Poster and Demos Session 2019
change point detection; declarative process models; process mining; time series analysis
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Comprehensive process drift analysis with the visual drift detection tool / Yeshchenko, A.; Di Ciccio, C.; Mendling, J.; Polyvyanyy, A.. - 2469:(2019), pp. 108-112. (Intervento presentato al convegno 2019 Joint ER Forum and Poster and Demos Session on Publishing Papers with CEUR-WS, ER Forum and ER Poster and Demos Session 2019 tenutosi a Salvador; Brazil).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1362099
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