Applications of Extended Prefix Automata in Process Mining

Maxim Vidgof

Applications of Extended Prefix Automata in Process Mining

Wirtschaftsinformatik und Neue Medien

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

Abstract

Process mining is a research area focusing on extracting insights from process execution data called event logs. Different areas of process mining have developed own methods and algorithms suited for specific purposes. In this PhD project, we are developing Extended Prefix Automata – a behavioral model serving as unified representation of a business process – and study its applicability in various areas of process mining. We analyze the applicability of Extended Prefix Automata for measuring process complexity, for predictive process monitoring and automated process discovery. In this paper, we report the current state and outline future plans for each of these applications.

Originalsprache	Englisch
Titel des Sammelwerks	Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration Resources Track at BPM 2022
Untertitel des Sammelwerks	co-located with 20th International Conference on Business Process Management (BPM 2022)
Herausgeber*innen	Christian Janiesch, Chiara Di Francescomarino, Thomas Grisold, Akhil Kumar, Jan Mendling, Brian T. Pentland, Hajo A. Reijers, Mathias Weske, Robert Winter
Erscheinungsort	Aachen
Verlag	CEUR WS
Seiten	72-78
Seitenumfang	7
Band	3216
Publikationsstatus	Veröffentlicht - 2022

Publikationsreihe

Reihe	CEUR Workshop Proceedings
Band	3216
ISSN	1613-0073

Zugriff auf Dokument

https://ceur-ws.org/Vol-3216/Lizenz: CC BY

Verfügbarkeit prüfen

Katalog der Universitätsbibliothek

Dieses zitieren

Vidgof, M. (2022). Applications of Extended Prefix Automata in Process Mining. in C. Janiesch, C. D. Francescomarino, T. Grisold, A. Kumar, J. Mendling, B. T. Pentland, H. A. Reijers, M. Weske, & R. Winter (Hrsg.), Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration Resources Track at BPM 2022: co-located with 20th International Conference on Business Process Management (BPM 2022) (Band 3216, S. 72-78). CEUR WS. CEUR Workshop Proceedings Band 3216 https://ceur-ws.org/Vol-3216/

Vidgof, Maxim. / Applications of Extended Prefix Automata in Process Mining. Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration Resources Track at BPM 2022: co-located with 20th International Conference on Business Process Management (BPM 2022). Hrsg. / Christian Janiesch ; Chiara Di Francescomarino ; Thomas Grisold ; Akhil Kumar ; Jan Mendling ; Brian T. Pentland ; Hajo A. Reijers ; Mathias Weske ; Robert Winter. Band 3216 Aachen : CEUR WS, 2022. S. 72-78 (CEUR Workshop Proceedings, Band 3216).

@inproceedings{7f5e771c687f4aca9b0343157712ecaf,

title = "Applications of Extended Prefix Automata in Process Mining",

abstract = "Process mining is a research area focusing on extracting insights from process execution data called event logs. Different areas of process mining have developed own methods and algorithms suited for specific purposes. In this PhD project, we are developing Extended Prefix Automata – a behavioral model serving as unified representation of a business process – and study its applicability in various areas of process mining. We analyze the applicability of Extended Prefix Automata for measuring process complexity, for predictive process monitoring and automated process discovery. In this paper, we report the current state and outline future plans for each of these applications.",

keywords = "Process mining, Extended prefix automata, Process complexity, Predictive process monitoring, Process discovery",

author = "Maxim Vidgof",

note = "urn:nbn:de:0074-3216-7",

year = "2022",

language = "English",

volume = "3216",

series = "CEUR Workshop Proceedings",

publisher = "CEUR WS",

pages = "72--78",

editor = "Christian Janiesch and Francescomarino, {Chiara Di} and Thomas Grisold and Akhil Kumar and Jan Mendling and Pentland, {Brian T.} and Reijers, {Hajo A.} and Mathias Weske and Robert Winter",

booktitle = "Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration Resources Track at BPM 2022",

}

Vidgof, M 2022, Applications of Extended Prefix Automata in Process Mining. in C Janiesch, CD Francescomarino, T Grisold, A Kumar, J Mendling, BT Pentland, HA Reijers, M Weske & R Winter (Hrsg.), Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration Resources Track at BPM 2022: co-located with 20th International Conference on Business Process Management (BPM 2022). Bd. 3216, CEUR WS, Aachen, CEUR Workshop Proceedings, Bd. 3216, S. 72-78. <https://ceur-ws.org/Vol-3216/>

Applications of Extended Prefix Automata in Process Mining. / Vidgof, Maxim.
Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration Resources Track at BPM 2022: co-located with 20th International Conference on Business Process Management (BPM 2022). Hrsg. / Christian Janiesch; Chiara Di Francescomarino; Thomas Grisold; Akhil Kumar; Jan Mendling; Brian T. Pentland; Hajo A. Reijers; Mathias Weske; Robert Winter. Band 3216 Aachen: CEUR WS, 2022. S. 72-78 (CEUR Workshop Proceedings, Band 3216).

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

TY - GEN

T1 - Applications of Extended Prefix Automata in Process Mining

AU - Vidgof, Maxim

N1 - urn:nbn:de:0074-3216-7

PY - 2022

Y1 - 2022

N2 - Process mining is a research area focusing on extracting insights from process execution data called event logs. Different areas of process mining have developed own methods and algorithms suited for specific purposes. In this PhD project, we are developing Extended Prefix Automata – a behavioral model serving as unified representation of a business process – and study its applicability in various areas of process mining. We analyze the applicability of Extended Prefix Automata for measuring process complexity, for predictive process monitoring and automated process discovery. In this paper, we report the current state and outline future plans for each of these applications.

AB - Process mining is a research area focusing on extracting insights from process execution data called event logs. Different areas of process mining have developed own methods and algorithms suited for specific purposes. In this PhD project, we are developing Extended Prefix Automata – a behavioral model serving as unified representation of a business process – and study its applicability in various areas of process mining. We analyze the applicability of Extended Prefix Automata for measuring process complexity, for predictive process monitoring and automated process discovery. In this paper, we report the current state and outline future plans for each of these applications.

KW - Process mining

KW - Extended prefix automata

KW - Process complexity

KW - Predictive process monitoring

KW - Process discovery

M3 - Contribution to conference proceedings

VL - 3216

T3 - CEUR Workshop Proceedings

SP - 72

EP - 78

BT - Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration Resources Track at BPM 2022

A2 - Janiesch, Christian

A2 - Francescomarino, Chiara Di

A2 - Grisold, Thomas

A2 - Kumar, Akhil

A2 - Mendling, Jan

A2 - Pentland, Brian T.

A2 - Reijers, Hajo A.

A2 - Weske, Mathias

A2 - Winter, Robert

PB - CEUR WS

CY - Aachen

ER -

Vidgof M. Applications of Extended Prefix Automata in Process Mining. in Janiesch C, Francescomarino CD, Grisold T, Kumar A, Mendling J, Pentland BT, Reijers HA, Weske M, Winter R, Hrsg., Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration Resources Track at BPM 2022: co-located with 20th International Conference on Business Process Management (BPM 2022). Band 3216. Aachen: CEUR WS. 2022. S. 72-78. (CEUR Workshop Proceedings, Band 3216).