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9783030707323 - Unearthing the Real Process Behind the Event Data: The Case for Increased Process Realism: 412 di Janssenswillen, Gert (17 risultati)
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Unearthing the Real Process Behind the Event Data : The Case for Increased Process Realism
Libro 215 di 231: Lecture Notes in Business Information ProcessingDa: GreatBookPrices, Columbia, MD, U.S.A.
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Unearthing the Real Process Behind the Event Data: The Case for Increased Process Realism (Lecture Notes in Business Information Processing)
Libro 215 di 231: Lecture Notes in Business Information ProcessingDa: Ria Christie Collections, Uxbridge, Regno Unito
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Unearthing the Real Process Behind the Event Data: The Case for Increased Process Realism: 412 (Lecture Notes in Business Information Processing, 412)
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Unearthing the Real Process Behind the Event Data: The Case for Increased Process Realism (Lecture Notes in Business Information Processing, 412) 1st ed. 2021 Edition
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Unearthing The Real Process Behind The E
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Unearthing the Real Process Behind the Event Data: The Case for Increased Process Realism
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Unearthing The Real Process Behind The E
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Unearthing the Real Process Behind the Event Data
Libro 215 di 231: Lecture Notes in Business Information ProcessingLingua: Inglese
Editore: Springer International Publishing, 2021
ISBN 10: 3030707326 ISBN 13: 9783030707323
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Unearthing the Real Process Behind the Event Data : The Case for Increased Process Realism
Libro 215 di 231: Lecture Notes in Business Information ProcessingLingua: Inglese
Editore: Springer International Publishing, 2021
ISBN 10: 3030707326 ISBN 13: 9783030707323
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Unearthing the Real Process Behind the Event Data | The Case for Increased Process Realism
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Unearthing the Real Process Behind the Event Data | The Case for Increased Process Realism | Gert Janssenswillen | Taschenbuch | Lecture Notes in Business Information Processing | xvi | Englisch | 2021 | Springer | EAN 9783030707323 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Unearthing the Real Process Behind the Event Data : The Case for Increased Process Realism
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Seiten: 300 | Sprache: Englisch | Produktart: Bücher | 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.
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Unearthing the Real Process Behind the Event Data Gert Janssenswillen
Libro 215 di 231: Lecture Notes in Business Information ProcessingDa: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, Germania
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Aggiungi al carrelloSoftcover. Condizione: gut. 2021. Unearthing the Real Process Behind the Event Data In deutscher Sprache. pages.
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Unearthing the Real Process Behind the Event Data (eng)
Libro 215 di 231: Lecture Notes in Business Information ProcessingDa: Brook Bookstore On Demand, Napoli, NA, Italia
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Unearthing the Real Process Behind the Event Data
Libro 215 di 231: Lecture Notes in Business Information ProcessingLingua: Inglese
Editore: Springer International Publishing Apr 2021, 2021
ISBN 10: 3030707326 ISBN 13: 9783030707323
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 300 pp. Englisch.
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Unearthing the Real Process Behind the Event Data: The Case for Increased Process Realism (Lecture Notes in Business Information Processing, 412) 1st ed. 2021 Edition
Libro 215 di 231: Lecture Notes in Business Information ProcessingDa: Majestic Books, Hounslow, Regno Unito
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Unearthing the Real Process Behind the Event Data: The Case for Increased Process Realism (Lecture Notes in Business Information Processing, 412) 1st ed. 2021 Edition
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Unearthing the Real Process Behind the Event Data
Libro 215 di 231: Lecture Notes in Business Information ProcessingLingua: Inglese
Editore: Springer, Palgrave Macmillan Apr 2021, 2021
ISBN 10: 3030707326 ISBN 13: 9783030707323
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 300 pp. Englisch.
