Unearthing the Real Process Behind the Event Data: The Case for Increased Process Realism: 412 (Lecture Notes in Business Information Processing) - Tapa blanda

Libro 215 de 231: Lecture Notes in Business Information Processing

Janssenswillen, Gert

 
9783030707323: Unearthing the Real Process Behind the Event Data: The Case for Increased Process Realism: 412 (Lecture Notes in Business Information Processing)
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ISBN 10: 3030707326 ISBN 13: 9783030707323
Editorial: Springer, 2021

Sinopsis

This book is a revised version of the PhD dissertation written by the author at Hasselt University in Belgium.

This dissertation introduces the concept of process realism. Process realism is approached from two perspectives in this dissertation. First, quality dimensions and measures for process discovery are analyzed on a large scale and compared with each other on the basis of empirical experiments. It is shown that there are important differences between the different quality measures in terms of feasibility, validity and sensitivity. Moreover, the role and meaning of the generalization dimension is unclear. Second, process realism is also tackled from a data point of view. By developing a transparent and extensible tool-set, a framework is offered to analyze process data from different perspectives. From both perspectives, recommendations are made for future research, and a call is made to give the process realism mindset a central place within process mining analyses.

In 2020, the PhD dissertation won the “BPM Dissertation Award”, granted to outstanding PhD theses in the field of Business Process Management.

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

This book is a revised version of the PhD dissertation written by the author at Hasselt University in Belgium.This dissertation introduces the concept of process realism. Process realism is approached from two perspectives in this dissertation. First, quality dimensions and measures for process discovery are analyzed on a large scale and compared with each other on the basis of empirical experiments. It is shown that there are important differences between the different quality measures in terms of feasibility, validity and sensitivity. Moreover, the role and meaning of the generalization dimension is unclear. Second, process realism is also tackled from a data point of view. By developing a transparent and extensible tool-set, a framework is offered to analyze process data from different perspectives. From both perspectives, recommendations are made for future research, and a call is made to give the process realism mindset a central place within process mining analyses.

In 2020, the PhD dissertation won the BPM Dissertation Award , granted to outstanding PhD theses in the field of Business Process Management.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2021
Idioma
Inglés
ISBN 10 
3030707326
ISBN 13 
9783030707323
Encuadernación
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Número de edición
1
Número de páginas
300
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Otras ediciones populares con el mismo título

9783030707347: Unearthing the Real Process Behind the Event Data: The Case for Increased Process Realism

Edición Destacada

ISBN 10:  3030707342 ISBN 13:  9783030707347
Editorial: Springer, 2021
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