Publications

International Journal

Kim, J., Comuzzi, M., Dumas, M., Maggi, F. M., & Teinemaa, I. (2022). Encoding resource experience for predictive process monitoring. Decision Support Systems, 153, 113669.

Kim, J., & Comuzzi, M. (2021). A diagnostic framework for imbalanced classification in business process predictive monitoring. Expert Systems with Applications, 184, 115536.

Kim, J., & Comuzzi, M. (2021). Stability metrics for enhancing the evaluation of outcome-based business process predictive monitoring. IEEE Access, 9, 133461-133471.

Nguyen, H. T. C., Lee, S., Kim, J., Ko, J., & Comuzzi, M. (2019). Autoencoders for improving quality of process event logs. Expert Systems with Applications, 131, 132-147.

International Conference

Kim, J. (2019, June). Enhancing the Quality of Predictions in Predictive Business Process Monitoring. Proceedings of the ICPM 2019 Doctoral Consortium, co-located with 1st International Conference on Process Mining.

Domestic Conference

Kim, J., Comuzzi, M. (2021). Measuring the anomaly detection stability of different anomaly patterns in business processes, Proceedings of KIIE (Korea Institute of Industrial Engineers) 2021 Annual Spring Conference.

Kim, J., Comuzzi, M. (2018). Handling imbalanced data in real-time prediction of activities in business processes, Proceedings of KIIE (Korea Institute of Industrial Engineers) 2018 Annual Spring Conference.