Process mining based on object-centric behavioral constraint (OCBC) models
Li, G. (2019). Process mining based on object-centric behavioral constraint (OCBC) models Eindhoven
Tag: Guangming Li
Guangming Li does not work here anymore.
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 …
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 …
Detecting the Deviation in flexible environment
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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 …
Guangming Li
Position: PhD Student Room: MF 7.109 Tel (internal): 2584 Links: Personal home page TU/e employee page OCBC page Publications Presentations
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 …