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Comuzzi, Marco (ComuzziMarco)

Department: Department of Industrial Engineering(산업공학과)

Website: https://sites.google.com/site/marcocomuzziphd/home

Lab: Intelligent Enterprise Lab. (지능형 엔터프라이즈 랩)

Research Keywords: 프로세스 마이닝, 비즈니스 성과 관리, 전사적 시스템, 데이터마이닝, business process management, management, ERP system, business network, enterprise systems, compliance, process monitoring

Research Interests: 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.

This table browses all dspace content
Issue Date	Title	Author(s)	Type	View	Altmetrics
2022-01	Assessing and improving measurability of process performance indicators based on quality of logs	Cappiello, Cinzia; Comuzzi, Marco; Plebani, Pierluigi, et al	ARTICLE	24	Assessing and improving measurability of process performance indicators based on quality of logs
2021-12	A diagnostic framework for imbalanced classification in business process predictive monitoring	Kim, Jongchan; Comuzzi, Marco	ARTICLE	68	A diagnostic framework for imbalanced classification in business process predictive monitoring
2021-05	On the Need for Data Quality Assessment in Blockchains	Comuzzi, Marco; Cappiello, Cinzia; Meroni, Giovanni	ARTICLE	174	On the Need for Data Quality Assessment in Blockchains
2021-03	Detecting anomalies in business process event logs using statistical leverage	Ko, Jonghyeon; Comuzzi, Marco	ARTICLE	200	Detecting anomalies in business process event logs using statistical leverage
2020-11	An Empirical Investigation of Different Classifiers, Encoding, and Ensemble Schemes for Next Event Prediction Using Business Process Event Logs	Tama, Bayu Adhi; Comuzzi, Marco; Ko, Jonghyeon	ARTICLE	148	An Empirical Investigation of Different Classifiers, Encoding, and Ensemble Schemes for Next Event Prediction Using Business Process Event Logs
2020-04	Seven Paradoxes of Business Process Management in a Hyper-Connected World	Beverungen, Daniel; Buijs, Joos C. A. M.; Becker, Joerg, et al	ARTICLE	314	Seven Paradoxes of Business Process Management in a Hyper-Connected World
2020-01	A multi-dimensional model of Enterprise Resource Planning critical success factors	Vargas, Marcela Alejandra; Comuzzi, Marco	ARTICLE	322	A multi-dimensional model of Enterprise Resource Planning critical success factors
2019-10	Autoencoders for improving quality of process event logs	Nguyen, Hoang Thi Cam; Lee, Suhwan; Kim, Jongchan, et al	ARTICLE	656	Autoencoders for improving quality of process event logs
2019-09	An empirical comparison of classification techniques for next event prediction using business process event logs	Tama, Bayu Adhi; Comuzzi, Marco	ARTICLE	66	An empirical comparison of classification techniques for next event prediction using business process event logs
2019-07	TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-based Intrusion Detection System	Tama, Bayu Adhi; Comuzzi, Marco; Rhee, Kyung-Hyune	ARTICLE	387	TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-based Intrusion Detection System
2019-06	Ant-Colony Optimisation for Path Recommendation in Business Process Execution	Comuzzi, Marco	ARTICLE	472	Ant-Colony Optimisation for Path Recommendation in Business Process Execution
2019-01	Optimal directed hypergraph traversal with ant-colony optimisation	Comuzzi, Marco	ARTICLE	555	Optimal directed hypergraph traversal with ant-colony optimisation
2017-12	Combining Apriori heuristic and bio-inspired algorithms for solving the frequent itemsets mining problem	Djenouri, Youcef; Comuzzi, Marco	ARTICLE	878	Combining Apriori heuristic and bio-inspired algorithms for solving the frequent itemsets mining problem
2017-12	Evaluating the effect of best practices for business process redesign: An evidence-based approach based on process mining techniques	Cho, Minsu; Song, Minseok; Comuzzi, Marco, et al	ARTICLE	759	Evaluating the effect of best practices for business process redesign: An evidence-based approach based on process mining techniques
2017-10	A methodology for enterprise systems post-implementation change management	Comuzzi, Marco; Parhizkar, Minou	ARTICLE	822	A methodology for enterprise systems post-implementation change management
2017-04	Alignment of Process Compliance and Monitoring Requirements in Dynamic Business Collaborations	Comuzzi, Marco	ARTICLE	1041	Alignment of Process Compliance and Monitoring Requirements in Dynamic Business Collaborations
2017-03	Designing a Tool for Service-Dominant Business Strategies Using Action Design Research	Lüftenegger, Egon; Comuzzi, Marco; Grefen, Paul	ARTICLE	1088	Designing a Tool for Service-Dominant Business Strategies Using Action Design Research
2017-01	Impact analysis of ERP post-implementation modifications: Design, tool support and evaluation	Parhizkar, Minou; Comuzzi, Marco	ARTICLE	887	Impact analysis of ERP post-implementation modifications: Design, tool support and evaluation
2016-09	Patterns and tools for business process monitoring customization	Comuzzi, Marco; Angelov, Samuil	ARTICLE	791	Patterns and tools for business process monitoring customization
2016-08	How organisations leverage Big Data: A maturity model	Comuzzi, Marco; Patel, Anit	ARTICLE	921	How organisations leverage Big Data: A maturity model

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