Process mining on databases: extracting event data from real-life data sources

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

LanguageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Department of Mathematics and Computer Science
Supervisors/Advisors
  • Reijers, Hajo, Promotor
  • van der Aalst, Wil, Promotor
Award date27 Feb 2019
Place of PublicationEindhoven
Publisher
Print ISBNs978-90-386-4704-3
StatePublished - 27 Feb 2019

Bibliographical note

Proefschrift

Cite this

@phdthesis{5bb2b9ff0fe24a399f7da68ec26e217e,
title = "Process mining on databases: extracting event data from real-life data sources",
author = "{Gonzalez Lopez de Murillas}, E.",
note = "Proefschrift",
year = "2019",
month = "2",
day = "27",
language = "English",
isbn = "978-90-386-4704-3",
series = "SIKS Dissertation Series",
publisher = "Technische Universiteit Eindhoven",
school = "Department of Mathematics and Computer Science",

}

Gonzalez Lopez de Murillas, E 2019, 'Process mining on databases: extracting event data from real-life data sources', Doctor of Philosophy, Department of Mathematics and Computer Science, Eindhoven.

Process mining on databases : extracting event data from real-life data sources. / Gonzalez Lopez de Murillas, E.

Eindhoven : Technische Universiteit Eindhoven, 2019. 231 p.

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

TY - THES

T1 - Process mining on databases

T2 - extracting event data from real-life data sources

AU - Gonzalez Lopez de Murillas,E.

N1 - Proefschrift

PY - 2019/2/27

Y1 - 2019/2/27

M3 - Phd Thesis 1 (Research TU/e / Graduation TU/e)

SN - 978-90-386-4704-3

T3 - SIKS Dissertation Series

PB - Technische Universiteit Eindhoven

CY - Eindhoven

ER -

Gonzalez Lopez de Murillas E. Process mining on databases: extracting event data from real-life data sources. Eindhoven: Technische Universiteit Eindhoven, 2019. 231 p. (SIKS Dissertation Series).