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Showing results 1 to 14 of 14

A Language to Model and Simulate Data Quality Issues in Process Mining File

Comuzzi, Marco , Ko, Jonghyeon , Maggi, Fabrizio Maria

Article Issue Date2025-06 View78
A Systematic Review of Anomaly Detection for Business Process Event Logs File

Ko, Jonghyeon , Comuzzi, Marco

Article Issue Date2023-08 View176
AIR-BAGEL: An interactive root cause-based anomaly generator for event logs

Ko, Jonghyeon , Lee, Jongyup , Comuzzi, Marco

Conference Paper Issue Date2020-10 View63
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 View180
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 View125
Business process event log anomaly detection based on statistical leverage

Ko, Jonghyeon , Comuzzi, Marco

Conference Paper Issue Date2021-09 View59
Combining blockchain and IoT for safe and transparent nuclear waste management: A prototype implementation File

Yessenbayev, Olzhas , Nguyen, Dung Chi Duy , Jeong, Taeseok , Kang, Ki Joon , Kim, Hee Reyoung , Ko, Jonghyeon , Park, Jin-Young , Roh, Myung-Sub , Comuzzi, Marco

Article Issue Date2024-05 View204
Detecting and repairing anomaly patterns in business process event logs File

Ko, Jonghyeon , Comuzzi, Marco , Maggi, Fabrizio Maria

Article Issue Date2025-11 View94
Detecting anomalies in business process event logs using statistical leverage File

Ko, Jonghyeon , Comuzzi, Marco

Article Issue Date2021-03 View97
Fuzzy analytic network process for evaluating ERP post-implementation alternatives File

Ko, Jonghyeon , Comuzzi, Marco

Conference Paper Issue Date2017-07-09 View54
Information-theoretic detection of control-flow anomalies in business process event logs File File

Ko, Jonghyeon

Thesis Issue Date2022-02 View123
Keeping our rivers clean: Information-theoretic online anomaly detection for streaming business process events File

Ko, Jonghyeon , Comuzzi, Marco

Article Issue Date2022-02 View172
Online Anomaly Detection Using Statistical Leverage for Streaming Business Process Events File

Ko, Jonghyeon , Comuzzi, Marco

Conference Paper Issue Date2020-10 View70
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 View57
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