Eduardo González Lopéz de Murillas

Position: PhD Student
Room: MF 7.117
Tel (internal): 8648
Links: Personal home
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Scopus page
ORCID page
DBLP page
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Publications

  • Connecting databases with process mining: a meta model and toolset - González López de Murillas, E., Reijers, H. A., & van der Aalst, W. M. P. (2019). Connecting databases with process mining: a meta model and toolset. Software and Systems Modeling, 18(2), 1209-1247. https://doi.org/10.1007/s10270-018-0664-7 Abstract Process mining techniques require event logs which, in many cases, are obtained from databases. Obtaining these event logs is not a Read More ...
  • Case notion discovery and recommendation: automated event log building on databases - de Murillas, E. G. L., Reijers, H. A., & van der Aalst, W. M. P. (Accepted/In press). Case notion discovery and recommendation: automated event log building on databases. Knowledge and Information Systems. https://doi.org/10.1007/s10115-019-01430-6 Abstract Process mining techniques use event logs as input. When analyzing complex databases, these event logs can be built in many ways. Read More ...
  • Process mining on databases: extracting event data from real-life data sources - Gonzalez Lopez de Murillas, E. (2019). Process mining on databases: extracting event data from real-life data sources Eindhoven: Technische Universiteit Eindhoven
  • 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 ...
  • Redo log process mining in real life : data challenges & opportunities - González López de Murillas, E., Hoogendoorn, G.E. & Reijers, H.A. (2018). Redo log process mining in real life : data challenges & opportunities. In M. Weidlich & E. Teniente (Eds.), Business Process Management Workshops (pp. 573-587). (Lecture Notes in Business Information Processing, No. 308). Dordrecht: Springer Netherlands. Abstract Data extraction and preparation are the most 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 ...
  • Publications in 2016 - Article Scientific peer reviewed Van Der Aa, Han, Leopold, H. & Reijers, H.A. (2016). Dealing with behavioral ambiguity in textual process descriptions. Lecture notes in computer science, 9850, 271-288. Scopus. van der Aa, J.H., Reijers, H.A. & Vanderfeesten, I.T.P. (2016). Designing like a pro : the automated composition of workflow activities. Computers in Industry, 75, Read More ...
  • Publications in 2015 - Article Scientific peer reviewed Adriansyah, Arya, Munoz Gama, Jorge, Carmona, J., van Dongen, Boudewijn & van der Aalst, Wil (2015). Measuring precision of modeled behavior. Information Systems and e-Business Management, 13(1), 37-67. Claes, Jan, Vanderfeesten, Irene, Pinggera, J., Reijers, Hajo, Weber, B. & Poels, G. (2015). A visual analysis of the process of process modeling. Read More ...

Presentations

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