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MarcoComuzzi
Comuzzi, Marco

MarcoComuzzi

Department of Industrial Engineering(산업공학과)

  • Intelligent Enterprise Lab.
  • Website
Research Interests
business process management;management;ERP system;business network;enterprise systems;compliance;process monitoring;프로세스 마이닝;비즈니스 성과 관리;전사적 시스템;데이터마이닝
Lab Description
The Intelligent Enterprise (IEL) Lab focuses on engineering of solutions for efficient and effective "evidence-based" business process management. To do so, we work with process event logs, i.e., logs of information systems that contain "evidence" of the execution of tasks and decisions within a business process. In particular, we apply advanced machine learning techniques to extract knowledge from process event logs and use this knowledge to improve process execution. Recently, we are also interested in blockchain as a tool for re-engineering information exchange and process management across networks of collaborating parties. Specifically, we focus on extending blockchain systems (public and permissioned) to support the assessment of data quality of transaction payloads.
Researcher ID Research Gate ORCiD Scopus Google Scholar
Previous
Process-Data Quality: The True Frontier of Process Mining File

Ter Hofstede, Arthur H. M. , Koschmider, Agnes , Marrella, Andrea , Andrews, Robert , Fischer, Dominik A. , Sadeghianasl, Sareh , Wynn, Moe Thandar , Comuzzi, Marco , De Weerdt, Jochen , Goel, Kanika , et al

Article Issue Date2023-10 View6
A Systematic Review of Anomaly Detection for Business Process Event Logs File

Ko, Jonghyeon , Comuzzi, Marco

Article Issue Date2023-08 View12
The quantum threat to blockchain: summary and timeline analysis File

Schärer, Kai , Comuzzi, Marco

Article Issue Date2023-06 View12
Editorial: Blockchain for trusted information systems File

Meroni, Giovanni , Comuzzi, Marco , Köpke, Julius

Article Issue Date2023-06 View8
Towards Customer Outcome Management in Smart Manufacturing File File

Grefen, Paul , Vanderfeesten, Irene , Wilbik, Anna , Comuzzi, Marco , Ludwig, Heiko , Serral, Estefania , Kuitems, Frank , Blanken, Menno , Pietrasik, Marcin

Article Issue Date2023-06 View5
Leveraging a Heterogeneous Ensemble Learning for Outcome-Based Predictive Monitoring Using Business Process Event Logs File File

Tama, Bayu Adhi , Comuzzi, Marco

Article Issue Date2022-08 View6
Toward Quality-Aware Transaction Validation in Blockchains File

Comuzzi, Marco , Cappiello, Cinzia , Daniel, Florian , Meroni, Giovanni

Article Issue Date2022-07 View5
Exploring the Suitability of Rule-Based Classification to Provide Interpretability in Outcome-Based Process Predictive Monitoring File File

Lee, Suhwan , Comuzzi, Marco , Kwon, Nahyun

Article Issue Date2022-05 View12
Process mining for healthcare: Characteristics and challenges File File

Munoz-Gama, Jorge , Martin, Niels , Fernandez-Llatas, Carlos , Johnson, Owen A. , Sepulveda, Marcos , Helm, Emmanuel , Galvez-Yanjari, Victor , Comuzzi, Marco

Article Issue Date2022-03 View15
Keeping our rivers clean: Information-theoretic online anomaly detection for streaming business process events File

Ko, Jonghyeon , Comuzzi, Marco

Article Issue Date2022-02 View17
Encoding resource experience for predictive process monitoring File

Kim, Jongchan , Comuzzi, Marco , Dumas, Marlon , Maggi, Fabrizio Maria , Teinemaa, Irene

Article Issue Date2022-02 View14
Assessing and improving measurability of process performance indicators based on quality of logs File

Cappiello, Cinzia , Comuzzi, Marco , Plebani, Pierluigi , Fim, Matheus

Article Issue Date2022-01 View8
A diagnostic framework for imbalanced classification in business process predictive monitoring File

Kim, Jongchan , Comuzzi, Marco

Article Issue Date2021-12 View12
Stability Metrics for Enhancing the Evaluation of Outcome-Based Business Process Predictive Monitoring File File

Kim, Jongchan , Comuzzi, Marco

Article Issue Date2021-10 View10
On the Need for Data Quality Assessment in Blockchains File

Comuzzi, Marco , Cappiello, Cinzia , Meroni, Giovanni

Article Issue Date2021-05 View11
Seven Paradoxes of Business Process Management in a Hyper-Connected World File

Beverungen, Daniel , Buijs, Joos C. A. M. , Becker, Joerg , Di Ciccio, Claudio , van der Aalst, Wil M. P. , Bartelheimer, Christian , vom Brocke, Jan , Comuzzi, Marco , Kraume, Karsten , Leopold, Henrik , et al

Article Issue Date2021-04 View5
Detecting anomalies in business process event logs using statistical leverage File

Ko, Jonghyeon , Comuzzi, Marco

Article Issue Date2021-03 View9
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 View10
A multi-dimensional model of Enterprise Resource Planning critical success factors File

Vargas, Marcela Alejandra , Comuzzi, Marco

Article Issue Date2020-01 View6
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 View6
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