Jonghyeon Ko

According to our database, Jonghyeon Ko authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

Jonghyeon Ko, Marco Comuzzi

Bus. Inf. Syst. Eng., August, 2023

Knowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity Prediction.

Ivan Donadello, Jonghyeon Ko, Fabrizio Maria Maggi, Jan Mendling, Francesco Riva, Matthias Weidlich

CoRR, 2023

Plan Recognition as Probabilistic Trace Alignment.

Jonghyeon Ko, Fabrizio Maria Maggi, Marco Montali, Rafael Peñaloza, Ramon Fraga Pereira

Proceedings of the 5th International Conference on Process Mining, 2023

Approximating Multi-perspective Trace Alignment Using Trace Encodings.

Alessandro Gianola, Jonghyeon Ko, Fabrizio Maria Maggi, Marco Montali, Sarah Winkler

Proceedings of the Business Process Management - 21st International Conference, 2023

2022

Keeping our rivers clean: Information-theoretic online anomaly detection for streaming business process events.

Jonghyeon Ko, Marco Comuzzi

Inf. Syst., 2022

Pattern-based Reconstruction of Anomalous Traces in Business Process Event Logs.

Jonghyeon Ko, Marco Comuzzi

Proceedings of the Joint Proceedings of the 1st International Workshop on Computational Intelligence for Process Mining (CI4PM 2022) and the 1st International Workshop on Pervasive Artificial Intelligence (PAI 2022), 2022

2021

Detecting anomalies in business process event logs using statistical leverage.

Jonghyeon Ko, Marco Comuzzi

Inf. Sci., 2021

Business Process Event Log Anomaly Detection based on Statistical Leverage.

Jonghyeon Ko, Marco Comuzzi

Proceedings of the 1st Italian Forum on Business Process Management co-located with the 19th International Conference of Business Process Management (BPM 2021), 2021

2020

An Empirical Investigation of Different Classifiers, Encoding, and Ensemble Schemes for Next Event Prediction Using Business Process Event Logs.

Bayu Adhi Tama, Marco Comuzzi, Jonghyeon Ko

ACM Trans. Intell. Syst. Technol., 2020

AIR-BAGEL: An Interactive Root cause-Based Anomaly Generator for Event Logs.

Jonghyeon Ko, Jongyup Lee, Marco Comuzzi

Proceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020 co-located with the 2nd International Conference on Process Mining (ICPM 2020), 2020

Online Anomaly Detection Using Statistical Leverage for Streaming Business Process Events.

Jonghyeon Ko, Marco Comuzzi

Proceedings of the Process Mining Workshops, 2020

2019

Autoencoders for improving quality of process event logs.

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

Expert Syst. Appl., 2019

Predicting Outpatient Process Flows to Minimise the Cost of Handling Returning Patients: A Case Study.

Marco Comuzzi, Jonghyeon Ko, Suhwan Lee

Proceedings of the Business Process Management Workshops, 2019

2017

Fuzzy analytic network process for evaluating ERP post-implementation alternatives.

Jonghyeon Ko, Marco Comuzzi

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017