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A Systematic Review of Anomaly Detection for Business Process Event Logs File

Ko, Jonghyeon , Comuzzi, Marco

Article Issue Date2023-08 View14
AIR-BAGEL: An interactive root cause-based anomaly generator for event logs

Ko, Jonghyeon , Lee, Jongyup , Comuzzi, Marco

Conference Paper Issue Date2020-10 View4
An Empirical Investigation of Different Classifiers, Encoding, and Ensemble Schemes for Next Event Prediction Using Business Process Event Logs File

Tama, Bayu Adhi , Comuzzi, Marco , Ko, Jonghyeon

Article Issue Date2020-11 View11
Autoencoders for improving quality of process event logs File

Nguyen, Hoang Thi Cam , Lee, Suhwan , Kim, Jongchan , Ko, Jonghyeon , Comuzzi, Marco

Article Issue Date2019-10 View7
Business process event log anomaly detection based on statistical leverage

Ko, Jonghyeon , Comuzzi, Marco

Conference Paper Issue Date2021-09 View4
Detecting anomalies in business process event logs using statistical leverage File

Ko, Jonghyeon , Comuzzi, Marco

Article Issue Date2021-03 View11
Fuzzy analytic network process for evaluating ERP post-implementation alternatives File

Ko, Jonghyeon , Comuzzi, Marco

Conference Paper Issue Date2017-07-09 View4
Information-theoretic detection of control-flow anomalies in business process event logs File

Ko, Jonghyeon

Thesis Issue Date2022-02 View8
Keeping our rivers clean: Information-theoretic online anomaly detection for streaming business process events File

Ko, Jonghyeon , Comuzzi, Marco

Article Issue Date2022-02 View18
Online Anomaly Detection Using Statistical Leverage for Streaming Business Process Events File

Ko, Jonghyeon , Comuzzi, Marco

Conference Paper Issue Date2020-10 View4
Predicting Outpatient Process Flows to Minimise the Cost of Handling Returning Patients: A Case Study File

Comuzzi, Marco , Ko, Jonghyeon , Lee, Suhwan

Conference Paper Issue Date2019-09-01 View4
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