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Comuzzi, Marco (MarcoComuzzi)

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
2022-03	Process mining for healthcare: Characteristics and challenges	Comuzzi, Marco	ARTICLE	106	Process mining for healthcare: Characteristics and challenges
2022-02	Keeping our rivers clean: Information-theoretic online anomaly detection for streaming business process events	Ko, Jonghyeon; Comuzzi, Marco	ARTICLE	166	Keeping our rivers clean: Information-theoretic online anomaly detection for streaming business process events
2022-02	Encoding resource experience for predictive process monitoring	Kim, Jongchan; Comuzzi, Marco; Dumas, Marlon, et al	ARTICLE	101	Encoding resource experience for predictive process monitoring
2022-02	Toward Quality-Aware Transaction Validation in Blockchain	Comuzzi, Marco; Cappiello, Cinzia; Daniel, Florian, et al	ARTICLE	79	Toward Quality-Aware Transaction Validation in Blockchain
2022-01	Assessing and improving measurability of process performance indicators based on quality of logs	Cappiello, Cinzia; Comuzzi, Marco; Plebani, Pierluigi, et al	ARTICLE	153	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	229	A diagnostic framework for imbalanced classification in business process predictive monitoring
2021-10	Stability Metrics for Enhancing the Evaluation of Outcome-Based Business Process Predictive Monitoring	Kim, Jongchan; Comuzzi, Marco	ARTICLE	219	Stability Metrics for Enhancing the Evaluation of Outcome-Based Business Process Predictive Monitoring
2021-05	On the Need for Data Quality Assessment in Blockchains	Comuzzi, Marco; Cappiello, Cinzia; Meroni, Giovanni	ARTICLE	271	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	310	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	253	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	405	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	404	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	753	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	89	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	484	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	535	Ant-Colony Optimisation for Path Recommendation in Business Process Execution
2019-01	Optimal directed hypergraph traversal with ant-colony optimisation	Comuzzi, Marco	ARTICLE	634	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	963	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	837	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	957	A methodology for enterprise systems post-implementation change management

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