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Business Process Management

Overview of attention for book
Business Process Management
Springer International Publishing

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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
  22. Altmetric Badge
    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
  31. Altmetric Badge
    Chapter 30 Log-Based Simplification of Process Models
Attention for Chapter 21: Complex Symbolic Sequence Encodings for Predictive Monitoring of Business Processes
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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1 X user
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1 patent

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124 Mendeley
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Article details
Chapter title
Complex Symbolic Sequence Encodings for Predictive Monitoring of Business Processes
Chapter number 21
Book title
Business Process Management
Published in
Lecture notes in computer science, August 2015
DOI 10.1007/978-3-319-23063-4_21
Book ISBNs
978-3-31-923062-7, 978-3-31-923063-4
Authors

Anna Leontjeva, Raffaele Conforti, Chiara Di Francescomarino, Marlon Dumas, Fabrizio Maria Maggi, Hamid Reza Motahari-Nezhad, Jan Recker, Matthias Weidlich, Leontjeva, Anna, Conforti, Raffaele, Di Francescomarino, Chiara, Dumas, Marlon, Maggi, Fabrizio Maria, Francescomarino, Chiara

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Saudi Arabia 1 <1%
Germany 1 <1%
Unknown 122 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 35 28%
Student > Master 20 16%
Student > Bachelor 10 8%
Researcher 10 8%
Student > Doctoral Student 8 6%
Other 8 6%
Unknown 33 27%
Readers by discipline
Readers by discipline Count As %
Computer Science 54 44%
Business, Management and Accounting 12 10%
Engineering 8 6%
Economics, Econometrics and Finance 5 4%
Arts and Humanities 1 <1%
Other 6 5%
Unknown 38 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 December 2023.
All research outputs
#10,179,623
of 31,439,095 outputs
Outputs from Lecture notes in computer science
#3,442
of 10,028 outputs
Outputs of similar age
#94,314
of 287,800 outputs
Outputs of similar age from Lecture notes in computer science
#56
of 329 outputs
Altmetric has tracked 31,439,095 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 10,028 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has gotten more attention than average, scoring higher than 65% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 287,800 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 329 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.