RT Journal Article
T1 Applying deep learning to detect abnormal event log traces: a non-rule-based framework
A1 Wang, Yunsen
A1 Chiu, Tiffany
A1 Vasarhelyi, Miklos A.
AB Process mining is an efficient method that can analyze the full population of transactionsusing the event log of business processes. Conventional rule-based process mining techniques candetect anomalies; however, it tends to trigger a large number of false alarms. To improve the efficiencyof anomaly detection using process mining, this study adopts a deep learning-based classificationapproach to detect anomalies in the traces of event logs. This approach contributes to the literatureby proposing a non-rule-based process mining technique based on deep learning. Results demonstratethat the proposed non-rule-based process mining method can help auditors focus on transactionalanomalie
PB Universidad de Huelva
YR 2024
FD 2024
LK https://hdl.handle.net/10272/24653
UL https://hdl.handle.net/10272/24653
LA eng
DS Repositorio Institucional de la Universidad de Huelva
RD 29 may 2026