Process mining with streaming data

S.J. van Zelst

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
  • van der Aalst, Wil, Promotor
  • van Dongen, Boudewijn, Promotor
Award date14 Mar 2019
Place of PublicationEindhoven
Publisher
Print ISBNs978-90-386-4699-2
StatePublished - 14 Mar 2019

Bibliographical note

Proefschrift

Cite this

van Zelst, S. J. (2019). Process mining with streaming data Eindhoven: Technische Universiteit Eindhoven
van Zelst, S.J.. / Process mining with streaming data. Eindhoven : Technische Universiteit Eindhoven, 2019. 276 p.
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title = "Process mining with streaming data",
author = "{van Zelst}, S.J.",
note = "Proefschrift",
year = "2019",
month = "3",
day = "14",
language = "English",
isbn = "978-90-386-4699-2",
series = "SIKS dissertations",
publisher = "Technische Universiteit Eindhoven",
school = "Department of Mathematics and Computer Science",

}

van Zelst, SJ 2019, 'Process mining with streaming data', Doctor of Philosophy, Department of Mathematics and Computer Science, Eindhoven.

Process mining with streaming data. / van Zelst, S.J.

Eindhoven : Technische Universiteit Eindhoven, 2019. 276 p.

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

TY - THES

T1 - Process mining with streaming data

AU - van Zelst,S.J.

N1 - Proefschrift

PY - 2019/3/14

Y1 - 2019/3/14

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

SN - 978-90-386-4699-2

T3 - SIKS dissertations

PB - Technische Universiteit Eindhoven

CY - Eindhoven

ER -

van Zelst SJ. Process mining with streaming data. Eindhoven: Technische Universiteit Eindhoven, 2019. 276 p. (SIKS dissertations).