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Advanced Information Systems Engineering

Overview of attention for book
Cover of 'Advanced Information Systems Engineering'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Digital Transformation at thyssenkrupp: Challenges, Strategies and Examples
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    Chapter 2 Information Systems for Retail Companies
  4. Altmetric Badge
    Chapter 3 Understanding the Blockchain Using Enterprise Ontology
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    Chapter 4 Accommodating Openness Requirements in Software Platforms: A Goal-Oriented Approach
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    Chapter 5 Development of Mobile Data Collection Applications by Domain Experts: Experimental Results from a Usability Study
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    Chapter 6 Checking Process Compliance on the Basis of Uncertain Event-to-Activity Mappings
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    Chapter 7 Aligning Modeled and Observed Behavior: A Compromise Between Computation Complexity and Quality
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    Chapter 8 Multi-party Business Process Resilience By-Design: A Data-Centric Perspective
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    Chapter 9 Identifying Domains and Concepts in Short Texts via Partial Taxonomy and Unlabeled Data
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    Chapter 10 User Interests Clustering in Business Intelligence Interactions
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    Chapter 11 Analysis of Online Discussions in Support of Requirements Discovery
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    Chapter 12 Discovering Causal Factors Explaining Business Process Performance Variation
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    Chapter 13 Enriching Decision Making with Data-Based Thresholds of Process-Related KPIs
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    Chapter 14 Characterizing Drift from Event Streams of Business Processes
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    Chapter 15 Massively Distributed Environments and Closed Itemset Mining: The DCIM Approach
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    Chapter 16 Uncovering the Runtime Enterprise Architecture of a Large Distributed Organisation
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    Chapter 17 Summarisation and Relevance Evaluation Techniques for Big Data Exploration: The Smart Factory Case Study
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    Chapter 18 Instance-Based Process Matching Using Event-Log Information
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    Chapter 19 Analyzing Process Variants to Understand Differences in Key Performance Indices
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    Chapter 20 Discovering Hierarchical Consolidated Models from Process Families
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    Chapter 21 Survival in Schema Evolution: Putting the Lives of Survivor and Dead Tables in Counterpoint
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    Chapter 22 On the Similarity of Process Change Operations
  24. Altmetric Badge
    Chapter 23 Agile Transformation Success Factors: A Practitioner’s Survey
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    Chapter 24 Crossing the Boundaries – Agile Methods in Large-Scale, Plan-Driven Organizations: A Case Study from the Financial Services Industry
  26. Altmetric Badge
    Chapter 25 Structural Descriptions of Process Models Based on Goal-Oriented Unfolding
  27. Altmetric Badge
    Chapter 26 Aligning Textual and Graphical Descriptions of Processes Through ILP Techniques
  28. Altmetric Badge
    Chapter 27 Use Cases for Understanding Business Process Models
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    Chapter 28 Predictive Business Process Monitoring Considering Reliability Estimates
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    Chapter 29 Leveraging Game-Tree Search for Robust Process Enactment
  31. Altmetric Badge
    Chapter 30 Predictive Business Process Monitoring with LSTM Neural Networks
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    Chapter 31 Searching Linked Data with a Twist of Serendipity
  33. Altmetric Badge
    Chapter 32 Extraction of Embedded Queries via Static Analysis of Host Code
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    Chapter 33 Table Identification and Reconstruction in Spreadsheets
  35. Altmetric Badge
    Chapter 34 Data-Driven Process Discovery - Revealing Conditional Infrequent Behavior from Event Logs
  36. Altmetric Badge
    Chapter 35 An Approach for Incorporating Expert Knowledge in Trace Clustering
  37. Altmetric Badge
    Chapter 36 Mining Business Process Stages from Event Logs
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    Chapter 37 Visual Modeling of Instance-Spanning Constraints in Process-Aware Information Systems
  39. Altmetric Badge
    Chapter 38 Linking Data and BPMN Processes to Achieve Executable Models
  40. Altmetric Badge
    Chapter 39 Discovery of Fuzzy DMN Decision Models from Event Logs
Attention for Chapter 30: Predictive Business Process Monitoring with LSTM Neural Networks
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

30 tweeters
2 Facebook pages
2 Wikipedia pages
1 Redditor


2 Dimensions

Readers on

221 Mendeley
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Chapter title
Predictive Business Process Monitoring with LSTM Neural Networks
Chapter number 30
Book title
Advanced Information Systems Engineering
Published in
arXiv, June 2017
DOI 10.1007/978-3-319-59536-8_30
Book ISBNs
978-3-31-959535-1, 978-3-31-959536-8

Niek Tax, Ilya Verenich, Marcello La Rosa, Marlon Dumas

Twitter Demographics

The data shown below were collected from the profiles of 30 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 221 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 221 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 55 25%
Student > Ph. D. Student 49 22%
Researcher 26 12%
Student > Bachelor 19 9%
Student > Doctoral Student 11 5%
Other 23 10%
Unknown 38 17%
Readers by discipline Count As %
Computer Science 115 52%
Engineering 28 13%
Business, Management and Accounting 18 8%
Economics, Econometrics and Finance 3 1%
Agricultural and Biological Sciences 2 <1%
Other 10 5%
Unknown 45 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 12 December 2017.
All research outputs
of 15,846,697 outputs
Outputs from arXiv
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Outputs of similar age
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Outputs of similar age from arXiv
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Altmetric has tracked 15,846,697 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 626,047 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 97% 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 389,950 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 16,609 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.