• 10 Citations
20172019
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Personal profile

Education/Academic qualification

Harbin Institute of Technology

1 Sep 20081 Jul 2012

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Deviation Mathematics
Model-based Mathematics
Many to many Mathematics
Data structures Engineering & Materials Science
Data Dependency Mathematics
Modeling Language Mathematics
Inaccurate Mathematics
Data Model Mathematics

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Research Output 2017 2019

  • 10 Citations
  • 4 Conference contribution
  • 1 Article
  • 1 Phd Thesis 1 (Research TU/e / Graduation TU/e)

Process mining based on object-centric behavioral constraint (OCBC) models

Li, G., 14 May 2019, Eindhoven. 368 p.

Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)Academic

Open Access
File
1 Citation (Scopus)

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

Li, G., Medeiros De Carvalho, R. & van der Aalst, W. M. P., 5 Sep 2018, Proceedings - 2018 IEEE International Conference on Web Services, ICWS 2018 - Part of the 2018 IEEE World Congress on Services. Institute of Electrical and Electronics Engineers (IEEE), p. 203-210 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Enterprise resource planning
Industry
Service-oriented
Correlates

Dealing with artifact-centric systems: a process mining approach

Li, G. & de Carvalho, R. M., 1 Jan 2018, Proceedings of the 9th International Workshop on Enterprise Modeling and Information Systems Architectures (EMISA 2018): Rostock, Germany, May 24thto 25th, 2018. . Fellmann, M. & Sandkuhl, K. (eds.). CEUR-WS.org, p. 80-84 5 p. (CEUR Workshop Proceedings; vol. 2097)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
Industry
Enterprise resource planning
Modeling languages
1 Citation (Scopus)

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

Li, G., de Murillas, E. G. L., de Carvalho, R. M. & van der Aalst, W. M. P., 1 Jan 2018, Information Systems in the Big Data Era - CAiSE Forum 2018, Proceedings. Mendling, J. & Mouratidis, H. (eds.). Springer, p. 182-199 18 p. (Lecture Notes in Business Information Processing; vol. 317)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Process Mining
Information systems
Many to many
One to many
Multidimensional Data

A framework for detecting deviations in complex event logs

Li, G. & van der Aalst, W. M. P., 19 Aug 2017, In : Intelligent Data Analysis. 21, 4, p. 759-779 21 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Deviation
Model-based
Inaccurate
Path
Experiments