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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 DateTitleAuthor(s)TypeViewAltmetrics
2021-12A diagnostic framework for imbalanced classification in business process predictive monitoringKim, Jongchan; Comuzzi, MarcoARTICLE9 A diagnostic framework for imbalanced classification in business process predictive monitoring
2021-03Detecting anomalies in business process event logs using statistical leverageKo, Jonghyeon; Comuzzi, MarcoARTICLE166 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, JonghyeonARTICLE117 An Empirical Investigation of Different Classifiers, Encoding, and Ensemble Schemes for Next Event Prediction Using Business Process Event Logs
2020-10On the Need for Data Quality Assessment in BlockchainsComuzzi, Marco; Cappiello, Cinzia; Meroni, GiovanniARTICLE129 On the Need for Data Quality Assessment in Blockchains
2020-04Seven Paradoxes of Business Process Management in a Hyper-Connected WorldBeverungen, Daniel; Buijs, Joos C. A. M.; Becker, Joerg, et alARTICLE286 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, MarcoARTICLE295 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 alARTICLE582 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, MarcoARTICLE57 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-HyuneARTICLE352 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, MarcoARTICLE453 Ant-Colony Optimisation for Path Recommendation in Business Process Execution
2019-01Optimal directed hypergraph traversal with ant-colony optimisationComuzzi, MarcoARTICLE530 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, MarcoARTICLE858 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 alARTICLE725 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, MinouARTICLE786 A methodology for enterprise systems post-implementation change management
2017-04Alignment of Process Compliance and Monitoring Requirements in Dynamic Business CollaborationsComuzzi, MarcoARTICLE994 Alignment of Process Compliance and Monitoring Requirements in Dynamic Business Collaborations
2017-03Designing a Tool for Service-Dominant Business Strategies Using Action Design ResearchLüftenegger, Egon; Comuzzi, Marco; Grefen, PaulARTICLE1057 Designing a Tool for Service-Dominant Business Strategies Using Action Design Research
2017-01Impact analysis of ERP post-implementation modifications: Design, tool support and evaluationParhizkar, Minou; Comuzzi, MarcoARTICLE864 Impact analysis of ERP post-implementation modifications: Design, tool support and evaluation
2016-09Patterns and tools for business process monitoring customizationComuzzi, Marco; Angelov, SamuilARTICLE768 Patterns and tools for business process monitoring customization
2016-08How organisations leverage Big Data: A maturity modelComuzzi, Marco; Patel, AnitARTICLE889 How organisations leverage Big Data: A maturity model
2016-07A framework to capture and reuse process knowledge in business process design and execution using social taggingRangiha, Mohammad Ehson; Comuzzi, Marco; Karakostas, BillARTICLE64 A framework to capture and reuse process knowledge in business process design and execution using social tagging

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