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Business Process Management Forum

Overview of attention for book
Business Process Management Forum
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Cross-Case Data Objects in Business Processes: Semantics and Analysis
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    Chapter 2 Dynamic Process Synchronization Using BPMN 2.0 to Support Buffering and (Un)Bundling in Manufacturing
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    Chapter 3 Feature Development in BPMN-Based Process-Driven Applications
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    Chapter 4 Say It in Your Own Words: Defining Declarative Process Models Using Speech Recognition
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    Chapter 5 IoT-Based Activity Recognition for Process Assistance in Human-Robot Disaster Response
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    Chapter 6 Discovering Activities from Emails Based on Pattern Discovery Approach
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    Chapter 7 Conformance Checking Using Activity and Trace Embeddings
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    Chapter 8 Privacy-Preserving Data Publishing in Process Mining
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    Chapter 9 Explainability in Predictive Process Monitoring: When Understanding Helps Improving
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    Chapter 10 Bayesian Network Based Predictions of Business Processes
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    Chapter 11 Predictive Process Mining Meets Computer Vision
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    Chapter 12 Prescriptive Business Process Monitoring for Recommending Next Best Actions
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    Chapter 13 IT Culture and BPM Adoption in Organizations
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    Chapter 14 Process Mining Adoption
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    Chapter 15 Digital Transformation and Business Process Innovation: A Car Rental Company Case Study
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    Chapter 16 Holistic Guidelines for Selecting and Adapting BPM Maturity Models (BPM MMs)
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    Chapter 17 A Theoretical Model for Business Process Standardization
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    Chapter 18 A Causal Mechanism Approach to Explain Business Process Adoption and Rejection Phenomena
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    Chapter 19 Analyzing a Helpdesk Process Through the Lens of Actor Handoff Patterns
Attention for Chapter 11: Predictive Process Mining Meets Computer Vision
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Readers on

mendeley
51 Mendeley
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Chapter title
Predictive Process Mining Meets Computer Vision
Chapter number 11
Book title
Business Process Management Forum
Published by
Springer, Cham, September 2020
DOI 10.1007/978-3-030-58638-6_11
Book ISBNs
978-3-03-058637-9, 978-3-03-058638-6
Authors

Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba, Pasquadibisceglie, Vincenzo, Appice, Annalisa, Castellano, Giovanna, Malerba, Donato

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 16%
Student > Master 7 14%
Student > Bachelor 5 10%
Professor 4 8%
Lecturer 3 6%
Other 5 10%
Unknown 19 37%
Readers by discipline Count As %
Computer Science 16 31%
Engineering 6 12%
Economics, Econometrics and Finance 5 10%
Business, Management and Accounting 1 2%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 21 41%