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Business Process Management Forum

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Cover of 'Business Process Management Forum'

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 5: IoT-Based Activity Recognition for Process Assistance in Human-Robot Disaster Response
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Citations

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Chapter title
IoT-Based Activity Recognition for Process Assistance in Human-Robot Disaster Response
Chapter number 5
Book title
Business Process Management Forum
Published by
Springer, Cham, September 2020
DOI 10.1007/978-3-030-58638-6_5
Book ISBNs
978-3-03-058637-9, 978-3-03-058638-6
Authors

Adrian Rebmann, Jana-Rebecca Rehse, Mira Pinter, Marius Schnaubelt, Kevin Daun, Peter Fettke, Rebmann, Adrian, Rehse, Jana-Rebecca, Pinter, Mira, Schnaubelt, Marius, Daun, Kevin, Fettke, Peter

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 18%
Researcher 3 14%
Student > Ph. D. Student 3 14%
Student > Doctoral Student 1 5%
Student > Bachelor 1 5%
Other 1 5%
Unknown 9 41%
Readers by discipline Count As %
Computer Science 9 41%
Business, Management and Accounting 2 9%
Engineering 2 9%
Unknown 9 41%