Detecting Privacy, Data and Control-Flow Deviations in Business Processes

Mozafari Mehr, A., Medeiros de Carvalho, R., & van Dongen, B. F. (2021). Detecting Privacy, Data and Control-Flow Deviations in Business Processes. In S. Nurcan, & A. Korthaus (Eds.), Intelligent Information Systems – CAiSE Forum 2021, Proceedings (pp. 82-91). (Lecture Notes in Business Information Processing; Vol. 424 LNBIP). Springer. https://doi.org/10.1007/978-3-030-79108-7_10 Abstract Existing access control mechanisms Read More …

Protecting Citizens’ Personal Data and Privacy: Joint Effort from GDPR EU Cluster Research Projects

Medeiros de Carvalho, R., Del Prete, C., Martin, Y. S., Araujo Rivero, R. M., Önen, M., Schiavo, F. P., Rumín, Á., Mouratidis, H., Yelmo, J. C., & Koukovini, M. N. (2020). Protecting Citizens’ Personal Data and Privacy: Joint Effort from GDPR EU Cluster Research Projects. SN Computer Science, 1, [217]. https://doi.org/10.1007/s42979-020-00218-8 Abstract Confidence in information Read More …

Log skeletons: a classification approach to process discovery

Verbeek, H. M. W., & Medeiros de Carvalho, R. (2018). Log skeletons: a classification approach to process discovery. arXiv.org. http://arxiv.org/abs/1806.08247 Abstract To test the effectiveness of process discovery algorithms, a Process Discovery Contest (PDC) has been set up. This PDC uses a classification approach to measure this effectiveness: The better the discovered model can classify Read More …

Facilitating GDPR compliance: the H2020 BPR4GDPR approach

Lioudakis, G. V., Koukovini, M. N., Papagiannakopoulou, E. I., Dellas, N., Kalaboukas, K., de Carvalho, R. M., Hassani, M., Bracciale, L., Bianchi, G., Juan-Verdejo, A., Alexakis, S., Gaudino, F., Cascone, D., & Barracano, P. (2020). Facilitating GDPR compliance: the H2020 BPR4GDPR approach. In I. O. Pappas, I. O. Pappas, P. Mikalef, L. Jaccheri, J. Krogstie, Read More …

Object-centric behavioral constraint models: a hybrid model for behavioral and data perspectives

Li, G., De Carvalho, R. M., & van der Aalst, W. M. P. (2019). Object-centric behavioral constraint models: a hybrid model for behavioral and data perspectives. In Proceeding SAC ’19 Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing (pp. 48-56). New York: Association for Computing Machinery, Inc. DOI: 10.1145/3297280.3297287 Abstract In order to maintain Read More …

An approach for workflow improvement based on outcome and time remaining prediction

Galdo Seara, L., & De Carvalho, R. M. (2019). An approach for workflow improvement based on outcome and time remaining prediction. In S. Hammoudi, B. Selic, & L. F. Pires (Eds.), MODELSWARD 2019 – Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development (pp. 475-482). Setúbal: SCITEPRESS-Science and Technology Publications, Lda.. DOI: Read More …

A model-based framework to automatically generate semi-real data for evaluating data analysis techniques

Li, G., de Carvalho, R. M., & van der Aalst, W. M. P. (2019). A model-based framework to automatically generate semi-real data for evaluating data analysis techniques. In J. Filipe, A. Brodsky, M. Smialek, & S. Hammoudi (Eds.), ICEIS 2019 – Proceedings of the 21st International Conference on Enterprise Information Systems (pp. 213-220). SCITEPRESS-Science and Read More …

Dealing with artifact-centric systems: a process mining approach

Li, G., & de Carvalho, R. M. (2018). Dealing with artifact-centric systems: a process mining approach. In M. Fellmann, & K. Sandkuhl (Eds.), Proceedings of the 9th International Workshop on Enterprise Modeling and Information Systems Architectures (EMISA 2018): Rostock, Germany, May 24th to 25th, 2018. (pp. 80-84). (CEUR Workshop Proceedings; Vol. 2097). CEUR-WS.org. Abstract Process Read More …

Process mining in social media: applying object-centric behavioral constraint models

Li, G., & de Carvalho, R. M. (2019). Process mining in social media: applying object-centric behavioral constraint models. IEEE Access, 7, 84360-84373. [8746275]. DOI: 10.1109/ACCESS.2019.2925105 Abstract The pervasive use of social media (e.g., Facebook, Stack Exchange, and Wikipedia) is providing unprecedented amounts of social data. Data mining techniques have been widely used to extract knowledge Read More …

Configurable event correlation for process discovery from object-centric event data

Li, Guangming, Medeiros De Carvalho, Renata & van der Aalst, Wil M.P. (2018). Configurable event correlation for process discovery from object-centric event data. Proceedings – 2018 IEEE International Conference on Web Services, ICWS 2018 – Part of the 2018 IEEE World Congress on Services (pp. 203-210). Institute of Electrical and Electronics Engineers (IEEE). Abstract Many Read More …

Dealing with artifact-centric systems : a process mining approach

Li, Guangming & de Carvalho, Renata Medeiros (2018). Dealing with artifact-centric systems : a process mining approach. CEUR Workshop Proceedings, 2097, 80-84. Abstract Process mining provides a series of techniques to analyze business processes based on execution data in enterprises. It has been successfully applied to classical processes on WFM/BPM systems, in which one process Read More …

Extracting object-centric event logs to support process mining on databases

Li, Guangming, de Murillas, Eduardo González López, de Carvalho, Renata Medeiros & van der Aalst, Wil M.P. (2018). Extracting object-centric event logs to support process mining on databases. In H. Mouratidis & J. Mendling (Eds.), Information Systems in the Big Data Era – CAiSE Forum 2018, Proceedings (pp. 182-199). (Lecture Notes in Business Information Processing, Read More …

Publications in 2017

Article Scientific peer reviewed Arriagada-Benítez, M., Sepúlveda, M., Munoz-Gama, J. & Buijs, J.C.A.M. (2017). Strategies to automatically derive a process model from a configurable process model based on event data. Applied Sciences, 7(10):1023. Bolt, A., de Leoni, M. & van der Aalst, W.M.P. (2017). Process variant comparison: using event logs to detect differences in behavior Read More …