Process Mining Handbook

Häftad, Engelska, 2022

Del 448 i serien Lecture Notes in Business Information Processing

442 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

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. This volume contains 17 chapters organized into 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.

Produktinformation

Utgivningsdatum:2022-06-17
Mått:155 x 235 x 34 mm
Vikt:790 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Business Information Processing
Antal sidor:503
Förlag:Springer International Publishing AG
ISBN:9783031088476

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT
Affärsförhandlingar inom Ekonomi och Ledarskap

Innehållsförteckning

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 toTurn Insights Into Actions.