Anomaly detection in business processes using process mining and fuzzy association rule learning

Anomaly detection in business processes using process mining and fuzzy association rule learning

Abstract Much corporate organization nowadays implement enterprise resource planning (ERP) to manage their business processes. Because the processes run continuously, ERP produces a massive log of processes. Manual observation will have difficulty monitoring the enormous log, especially detecting an...

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Bibliographic Details
Main Authors: Riyanarto Sarno, Fernandes Sinaga, Kelly Rossa Sungkono
Format: Article
Language:English
Published: SpringerOpen 2020-01-01
Series:Journal of Big Data
Subjects:
Process mining
Anomaly detection
Fuzzy association rule learning
Online Access:https://doi.org/10.1186/s40537-019-0277-1

Internet

https://doi.org/10.1186/s40537-019-0277-1

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