PErrCas: Process Error Cascade Mining in Trace Streams

Wimbauer, Anna; Richter, Florian und Seidl, Thomas (2022): PErrCas: Process Error Cascade Mining in Trace Streams. ICPM 2021 International Workshops, Eindhoven, The Netherlands,, October 31 – November 4, 2021. Munoz-Gama, Jorge und Lu, Xixi (Hrsg.): In: Process Mining Workshops. ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31 – November 4, 2021, Revised Selected Papers, Lecture Notes in Business Information Processing Bd. 433 S. 224-236

Abstract

Efficient and quick detection of problems is an essential task in online process monitoring. Many anomaly detection approaches excel in finding local deviations. We propose a novel approach that tracks local deviations over multiple process instances and visualizes correlations of deviation points. PErrCas provides knowledge about current cascades of deviations to give process analysts a starting point for rational root-cause analysis if processes leave their in-control parameters. PErrCas monitors deviations online and maintains cascades of varying timespans. Hence, our approach avoids defining an observation window beforehand, which is a significant advantage due to its impracticability to predefine expected cascade properties in exploratory scenarios.

• Dokumententyp: Konferenzbeitrag (Paper)
• Fakultät: Mathematik, Informatik und Statistik > Informatik
• Themengebiete: 000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik
• ISSN: 1865-1348
• Bemerkung: ISBN 978-3-030-98581-3
• Sprache: Englisch