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Process mining handbook

Aalst, Wil van der.

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Process mining handbook

Record Type:	Electronic resources : Monograph/item
Title/Author:	Process mining handbook/ edited by Wil M. P. van der Aalst, Josep Carmona.
other author:	Aalst, Wil van der.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	x, 503 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Introduction -- Process Mining: A 360 Degree Overview -- Process Discovery -- Foundations of Process Discovery -- Advanced Process Discovery Techniques -- Declarative Process Specifications: Reasoning, Discovery, Monitoring -- Conformance Checking -- Conformance Checking: Foundations, Milestones and Challenges -- Data Preprocessing -- Foundations of Process Event Data -- A Practitioner's View on Process Mining Adoption, Event Log Engineering and Data Challenges -- Process Enhancement and Monitoring -- Foundations of Process Enhancement -- Process Mining over Multiple Behavioral Dimensions with Event Knowledge Graphs -- Predictive Process Monitoring -- Assorted Process Mining Topics -- Streaming Process Mining -- Responsible Process Mining -- Industrial Perspective and Applications -- Status and Future of Process Mining: from Process Discovery to Process Execution -- Using Process Mining in Healthcare -- Process Mining for Financial Auditing -- Robotic Process Mining -- Closing -- Scaling Process Mining to Turn Insights Into Actions.
Contained By:	Springer Nature eBook
Subject:	Process mining. -
Online resource:	https://doi.org/10.1007/978-3-031-08848-3
ISBN:	9783031088483

Process mining handbook
Process mining handbook[electronic resource] /edited by Wil M. P. van der Aalst, Josep Carmona. - Cham :Springer International Publishing :2022. - x, 503 p. :ill. (some col.), digital ;24 cm. - Lecture notes in business information processing,4481865-1356 ;. - Lecture notes in business information processing ;448..

Introduction -- Process Mining: A 360 Degree Overview -- Process Discovery -- Foundations of Process Discovery -- Advanced Process Discovery Techniques -- Declarative Process Specifications: Reasoning, Discovery, Monitoring -- Conformance Checking -- Conformance Checking: Foundations, Milestones and Challenges -- Data Preprocessing -- Foundations of Process Event Data -- A Practitioner's View on Process Mining Adoption, Event Log Engineering and Data Challenges -- Process Enhancement and Monitoring -- Foundations of Process Enhancement -- Process Mining over Multiple Behavioral Dimensions with Event Knowledge Graphs -- Predictive Process Monitoring -- Assorted Process Mining Topics -- Streaming Process Mining -- Responsible Process Mining -- Industrial Perspective and Applications -- Status and Future of Process Mining: from Process Discovery to Process Execution -- Using Process Mining in Healthcare -- Process Mining for Financial Auditing -- Robotic Process Mining -- Closing -- Scaling Process Mining to Turn Insights Into Actions.

Open access.

This is an open access book. This book comprises all the single courses given as part of the First Summer School on Process Mining, PMSS 2022, which was held in Aachen, Germany, during July 4-8, 2022. The 17 chapters presented in this volume were organized in the following topical sections: introduction; process discovery; conformance checking; data preprocessing; process enhancement and monitoring; assorted process mining topics; industrial perspective and applications; and closing.

ISBN: 9783031088483

Standard No.: 10.1007/978-3-031-08848-3doiSubjects--Topical Terms:

3510732
Process mining.

LC Class. No.: T57.67 / .P76 2022

Dewey Class. No.: 006.312

Process mining handbook
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245 0 0 $a Process mining handbook $h [electronic resource] / $c edited by Wil M. P. van der Aalst, Josep Carmona.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a x, 503 p. : $b ill. (some col.), digital ; $c 24 cm.
338 $a online resource $b cr $2 rdacarrier
490 1 $a Lecture notes in business information processing, $x 1865-1356 ; $v 448
505 0 $a Introduction -- Process Mining: A 360 Degree Overview -- Process Discovery -- Foundations of Process Discovery -- Advanced Process Discovery Techniques -- Declarative Process Specifications: Reasoning, Discovery, Monitoring -- Conformance Checking -- Conformance Checking: Foundations, Milestones and Challenges -- Data Preprocessing -- Foundations of Process Event Data -- A Practitioner's View on Process Mining Adoption, Event Log Engineering and Data Challenges -- Process Enhancement and Monitoring -- Foundations of Process Enhancement -- Process Mining over Multiple Behavioral Dimensions with Event Knowledge Graphs -- Predictive Process Monitoring -- Assorted Process Mining Topics -- Streaming Process Mining -- Responsible Process Mining -- Industrial Perspective and Applications -- Status and Future of Process Mining: from Process Discovery to Process Execution -- Using Process Mining in Healthcare -- Process Mining for Financial Auditing -- Robotic Process Mining -- Closing -- Scaling Process Mining to Turn Insights Into Actions.
506 $a Open access.
520 $a This is an open access book. This book comprises all the single courses given as part of the First Summer School on Process Mining, PMSS 2022, which was held in Aachen, Germany, during July 4-8, 2022. The 17 chapters presented in this volume were organized in the following topical sections: introduction; process discovery; conformance checking; data preprocessing; process enhancement and monitoring; assorted process mining topics; industrial perspective and applications; and closing.
650 0 $a Process mining. $3 3510732
650 1 4 $a Business Process Management. $3 2134548
650 2 4 $a Computer and Information Systems Applications. $3 3538505
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
650 2 4 $a Computer Application in Administrative Data Processing. $3 3594379
700 1 $a Aalst, Wil van der. $3 744546
700 1 $a Carmona, Josep. $3 3251539
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in business information processing ; $v 448. $3 3601575
856 4 0 $u https://doi.org/10.1007/978-3-031-08848-3
950 $a Computer Science (SpringerNature-11645)