國立虎尾科技大學 |

Process Mining Handbook

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Process Mining Handbook/ edited by Wil M. P. van der Aalst, Josep Carmona.
其他作者:	Carmona, Josep.
面頁冊數:	X, 503 p. 171 illus., 92 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computer Application in Administrative Data Processing. -
電子資源:	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. - 1st ed. 2022. - X, 503 p. 171 illus., 92 illus. in color.online resource. - Lecture Notes in Business Information Processing,4481865-1356 ;. - Lecture Notes in Business Information Processing,206.

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:

1365952
Computer Application in Administrative Data Processing.

LC Class. No.: HD30.2

Dewey Class. No.: 658.4038

Process Mining Handbook
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