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Business Process Management

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Cover of 'Business Process Management'

Table of Contents

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    Book Overview
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    Chapter 1 Improving Business Processes: Does Anybody have an Idea?
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    Chapter 2 Inspection Coming Due! How to Determine the Service Interval of Your Processes!
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    Chapter 3 Data-Driven Performance Analysis of Scheduled Processes
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    Chapter 4 Specification and Verification of Complex Business Processes - A High-Level Petri Net-Based Approach
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    Chapter 5 Concurrency and Asynchrony in Declarative Workflows
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    Chapter 6 Detecting Inconsistencies Between Process Models and Textual Descriptions
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    Chapter 7 Mining Invisible Tasks in Non-free-choice Constructs
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    Chapter 8 Incorporating Negative Information in Process Discovery
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    Chapter 9 Ensuring Model Consistency in Declarative Process Discovery
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    Chapter 10 Avoiding Over-Fitting in ILP-Based Process Discovery
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    Chapter 11 Estimation of Average Latent Waiting and Service Times of Activities from Event Logs
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    Chapter 12 A Structural Model Comparison for Finding the Best Performing Models in a Collection
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    Chapter 13 Context-Sensitive Textual Recommendations for Incomplete Process Model Elements
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    Chapter 14 Extracting Configuration Guidance Models from Business Process Repositories
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    Chapter 15 Web-Based Modelling and Collaborative Simulation of Declarative Processes
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    Chapter 16 Case Analytics Workbench: Platform for Hybrid Process Model Creation and Evolution
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    Chapter 17 A Clinical Pathway Mining Approach to Enable Scheduling of Hospital Relocations and Treatment Services
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    Chapter 18 A Framework for Benchmarking BPMN 2.0 Workflow Management Systems
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    Chapter 19 Visually Monitoring Multiple Perspectives of Business Process Compliance
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    Chapter 20 Managing Controlled Violation of Temporal Process Constraints
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    Chapter 21 Complex Symbolic Sequence Encodings for Predictive Monitoring of Business Processes
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    Chapter 22 Business Process Management Skills and Roles: An Investigation of the Demand and Supply Side of BPM Professionals
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    Chapter 23 BPMN Task Instance Streaming for Efficient Micro-task Crowdsourcing Processes
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    Chapter 24 Goal-Aligned Categorization of Instance Variants in Knowledge-Intensive Processes
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    Chapter 25 Process Mining on Databases: Unearthing Historical Data from Redo Logs
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    Chapter 26 Business Process Management
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    Chapter 27 Business Process Management
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    Chapter 28 Mining Project-Oriented Business Processes
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    Chapter 29 Efficient Process Model Discovery Using Maximal Pattern Mining
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    Chapter 30 Log-Based Simplification of Process Models
Attention for Chapter 26: Business Process Management
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Chapter title
Business Process Management
Chapter number 26
Book title
Business Process Management
Published in
Lecture notes in computer science, August 2015
DOI 10.1007/978-3-319-23063-4_26
Book ISBNs
978-3-31-923062-7, 978-3-31-923063-4
Authors

Hamid Reza Motahari-Nezhad, Jan Recker, Matthias Weidlich, Nick R. T. P. van Beest, Marlon Dumas, Luciano García-Bañuelos, Marcello La Rosa, van Beest, Nick R. T. P., Dumas, Marlon, García-Bañuelos, Luciano, La Rosa, Marcello

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 2%
Unknown 41 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 29%
Student > Master 6 14%
Student > Doctoral Student 4 10%
Professor 4 10%
Researcher 3 7%
Other 6 14%
Unknown 7 17%
Readers by discipline Count As %
Computer Science 24 57%
Engineering 5 12%
Business, Management and Accounting 3 7%
Unspecified 1 2%
Nursing and Health Professions 1 2%
Other 1 2%
Unknown 7 17%