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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.
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Issue DateTitleAuthor(s)TypeViewAltmetrics
2022-03Process mining for healthcare: Characteristics and challengesComuzzi, MarcoARTICLE106 Process mining for healthcare: Characteristics and challenges
2022-02Keeping our rivers clean: Information-theoretic online anomaly detection for streaming business process eventsKo, Jonghyeon; Comuzzi, MarcoARTICLE166 Keeping our rivers clean: Information-theoretic online anomaly detection for streaming business process events
2022-02Encoding resource experience for predictive process monitoringKim, Jongchan; Comuzzi, Marco; Dumas, Marlon, et alARTICLE101 Encoding resource experience for predictive process monitoring
2022-02Toward Quality-Aware Transaction Validation in BlockchainComuzzi, Marco; Cappiello, Cinzia; Daniel, Florian, et alARTICLE79 Toward Quality-Aware Transaction Validation in Blockchain
2022-01Assessing and improving measurability of process performance indicators based on quality of logsCappiello, Cinzia; Comuzzi, Marco; Plebani, Pierluigi, et alARTICLE153 Assessing and improving measurability of process performance indicators based on quality of logs
2021-12A diagnostic framework for imbalanced classification in business process predictive monitoringKim, Jongchan; Comuzzi, MarcoARTICLE229 A diagnostic framework for imbalanced classification in business process predictive monitoring
2021-10Stability Metrics for Enhancing the Evaluation of Outcome-Based Business Process Predictive MonitoringKim, Jongchan; Comuzzi, MarcoARTICLE219 Stability Metrics for Enhancing the Evaluation of Outcome-Based Business Process Predictive Monitoring
2021-05On the Need for Data Quality Assessment in BlockchainsComuzzi, Marco; Cappiello, Cinzia; Meroni, GiovanniARTICLE271 On the Need for Data Quality Assessment in Blockchains
2021-03Detecting anomalies in business process event logs using statistical leverageKo, Jonghyeon; Comuzzi, MarcoARTICLE310 Detecting anomalies in business process event logs using statistical leverage
2020-11An Empirical Investigation of Different Classifiers, Encoding, and Ensemble Schemes for Next Event Prediction Using Business Process Event LogsTama, Bayu Adhi; Comuzzi, Marco; Ko, JonghyeonARTICLE253 An Empirical Investigation of Different Classifiers, Encoding, and Ensemble Schemes for Next Event Prediction Using Business Process Event Logs
2020-04Seven Paradoxes of Business Process Management in a Hyper-Connected WorldBeverungen, Daniel; Buijs, Joos C. A. M.; Becker, Joerg, et alARTICLE405 Seven Paradoxes of Business Process Management in a Hyper-Connected World
2020-01A multi-dimensional model of Enterprise Resource Planning critical success factorsVargas, Marcela Alejandra; Comuzzi, MarcoARTICLE404 A multi-dimensional model of Enterprise Resource Planning critical success factors
2019-10Autoencoders for improving quality of process event logsNguyen, Hoang Thi Cam; Lee, Suhwan; Kim, Jongchan, et alARTICLE753 Autoencoders for improving quality of process event logs
2019-09An empirical comparison of classification techniques for next event prediction using business process event logsTama, Bayu Adhi; Comuzzi, MarcoARTICLE89 An empirical comparison of classification techniques for next event prediction using business process event logs
2019-07TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-based Intrusion Detection SystemTama, Bayu Adhi; Comuzzi, Marco; Rhee, Kyung-HyuneARTICLE484 TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-based Intrusion Detection System
2019-06Ant-Colony Optimisation for Path Recommendation in Business Process ExecutionComuzzi, MarcoARTICLE535 Ant-Colony Optimisation for Path Recommendation in Business Process Execution
2019-01Optimal directed hypergraph traversal with ant-colony optimisationComuzzi, MarcoARTICLE634 Optimal directed hypergraph traversal with ant-colony optimisation
2017-12Combining Apriori heuristic and bio-inspired algorithms for solving the frequent itemsets mining problemDjenouri, Youcef; Comuzzi, MarcoARTICLE963 Combining Apriori heuristic and bio-inspired algorithms for solving the frequent itemsets mining problem
2017-12Evaluating the effect of best practices for business process redesign: An evidence-based approach based on process mining techniquesCho, Minsu; Song, Minseok; Comuzzi, Marco, et alARTICLE837 Evaluating the effect of best practices for business process redesign: An evidence-based approach based on process mining techniques
2017-10A methodology for enterprise systems post-implementation change managementComuzzi, Marco; Parhizkar, MinouARTICLE957 A methodology for enterprise systems post-implementation change management

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