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Business Process Management Forum

Overview of attention for book
Cover of 'Business Process Management Forum'

Table of Contents

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    Book Overview
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    Chapter 1 Process Mining Crimes – A Threat to the Validity of Process Discovery Evaluations
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    Chapter 2 A Logical Formalization of Time-Critical Processes with Resources
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    Chapter 3 Business Process and Rule Integration Approaches - An Empirical Analysis
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    Chapter 4 Business Process Activity Relationships: Is There Anything Beyond Arrows?
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    Chapter 5 Enriched Modeling and Reasoning on Business Processes with Ontologies and Answer Set Programming
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    Chapter 6 Alarm-Based Prescriptive Process Monitoring
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    Chapter 7 iProcess: Enabling IoT Platforms in Data-Driven Knowledge-Intensive Processes
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    Chapter 8 Storytelling Integration of the Internet of Things into Business Processes
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    Chapter 9 Leveraging Unstructured Data to Analyze Implicit Process Context
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    Chapter 10 Advanced Simulation of Resource Constructs in Business Process Models
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    Chapter 11 A Typology of Different Forms of Business Process Standardisation (BPS)
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    Chapter 12 How to Put Organizational Ambidexterity into Practice – Towards a Maturity Model
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    Chapter 13 A Data Governance Framework for Platform Ecosystem Process Management
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    Chapter 14 Designing a Process Mining-Enabled Decision Support System for Business Process Standardization in ERP Implementation Projects
Attention for Chapter 9: Leveraging Unstructured Data to Analyze Implicit Process Context
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Citations

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Summary Dimensions citations
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Chapter title
Leveraging Unstructured Data to Analyze Implicit Process Context
Chapter number 9
Book title
Business Process Management Forum
Published by
Springer, Cham, September 2018
DOI 10.1007/978-3-319-98651-7_9
Book ISBNs
978-3-31-998650-0, 978-3-31-998651-7
Authors

Renuka Sindhgatta, Aditya Ghose, Hoa Khanh Dam, Sindhgatta, Renuka, Ghose, Aditya, Khanh Dam, Hoa

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 25%
Researcher 2 25%
Lecturer 1 13%
Student > Postgraduate 1 13%
Unknown 2 25%
Readers by discipline Count As %
Computer Science 3 38%
Business, Management and Accounting 1 13%
Engineering 1 13%
Unknown 3 38%

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