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Sequential Anomaly Detection Techniques in Business Processes · Study

WorkSequential Anomaly Detection Techniques in Business Processes

Dirk Werth2017

Work2017

Sequential Anomaly Detection Techniques in Business Processes

19 citations·0/0 files stored·Lecture notes in business information processing

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Business Process Modeling and Analysis Software System Performance and Reliability Anomaly Detection Techniques and Applications

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References

2009Data fusion 2011Process Mining 2005Process Mining and Security: Detecting Anomalous Process Executions and Checking Process Conformance 2011Process diagnostics using trace alignment: Opportunities, issues, and challenges 2012Algorithms for anomaly detection of traces in logs of process aware information systems 2009Process-Aware Information Systems: Lessons to Be Learned from Process Mining 2009Anomaly Detection Using Process Mining 2011Real-time business process monitoring method for prediction of abnormal termination using KNNI-based LOF prediction

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Details

Year2017

Typeother

Published2017-01-01

VenueLecture notes in business information processing

ISSN-L1865-1348

Languageen

Citations19

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/978-3-319-52464-1_18

openalex_workW2583068147

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