Quotation Yeshchenko, Anton, Di Ciccio, Claudio, Mendling, Jan, Polyvyanyy, Artem. 2019. Comprehensive Process Drift Detection with Visual Analytics. In Conceptual Modeling - 38th International Conference, ER 2019, Hrsg. Alberto H.F. Laender, Barbara Pernici, Ee-Peng Lim, José Palazzo M. de Oliveira, 119-135. Salvador, Brazil: Springer.


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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 paper, we propose a novel technique for managing process drifts, called Visual Drift Detection (VDD), which fulfills these requirements. The technique starts by clustering declarative process constraints discovered from recorded logs of executed business processes based on their similarity and then applies change point detection on the identified clusters to detect drifts. VDD complements these features with detailed visualizations and explanations of drifts. Our evaluation, both on synthetic and real-world logs, demonstrates all the aforementioned capabilities of the technique.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Contribution to conference proceedings
Language English
Title Comprehensive Process Drift Detection with Visual Analytics
Title of whole publication Conceptual Modeling - 38th International Conference, ER 2019
Editor Alberto H.F. Laender, Barbara Pernici, Ee-Peng Lim, José Palazzo M. de Oliveira
Page from 119
Page to 135
Location Salvador, Brazil
Publisher Springer
Year 2019
ISBN 978-3-030-33222-8
URL https://doi.org/10.1007/978-3-030-33223-5_11
Open Access N

Associations

Projects
RISE_BPM
People
Yeshchenko, Anton (Details)
Di Ciccio, Claudio (Former researcher)
Mendling, Jan (Details)
External
Polyvyanyy, Artem (The University of Melbourne, Australia)
Organization
Applied Information Technology with Focus on IT in Organization (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1105 Computer software (Details)
1108 Informatics (Details)
1109 Information and data processing (Details)
1122 Artificial intelligence (Details)
1161 Human-computer interaction (Details)
5306 Business data processing (Details)
5367 Management information systems (Details)
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