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Bisociative Knowledge Discovery

Overview of attention for book
Cover of 'Bisociative Knowledge Discovery'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Bisociative Knowledge Discovery
  3. Altmetric Badge
    Chapter 2 Bisociative Knowledge Discovery
  4. Altmetric Badge
    Chapter 3 Bisociative Knowledge Discovery
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    Chapter 4 Network Creation: Overview
  6. Altmetric Badge
    Chapter 5 Selecting the Links in BisoNets Generated from Document Collections
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    Chapter 6 Bridging Concept Identification for Constructing Information Networks from Text Documents
  8. Altmetric Badge
    Chapter 7 Discovery of Novel Term Associations in a Document Collection
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    Chapter 8 Cover Similarity Based Item Set Mining
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    Chapter 9 Patterns and Logic for Reasoning with Networks
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    Chapter 10 Network Analysis: Overview
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    Chapter 11 BiQL: A Query Language for Analyzing Information Networks
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    Chapter 12 Review of BisoNet Abstraction Techniques
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    Chapter 13 Simplification of Networks by Edge Pruning
  15. Altmetric Badge
    Chapter 14 Network Compression by Node and Edge Mergers
  16. Altmetric Badge
    Chapter 15 Finding Representative Nodes in Probabilistic Graphs
  17. Altmetric Badge
    Chapter 16 Bisociative Knowledge Discovery
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    Chapter 17 Bisociative Knowledge Discovery
  19. Altmetric Badge
    Chapter 18 Bisociative Knowledge Discovery
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    Chapter 19 Exploration: Overview
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    Chapter 20 Data Exploration for Bisociative Knowledge Discovery: A Brief Overview of Tools and Evaluation Methods
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    Chapter 21 Bisociative Knowledge Discovery
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    Chapter 22 Bisociative Knowledge Discovery by Literature Outlier Detection
  24. Altmetric Badge
    Chapter 23 Exploring the Power of Outliers for Cross-Domain Literature Mining
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    Chapter 24 Bisociative Literature Mining by Ensemble Heuristics
  26. Altmetric Badge
    Chapter 25 Applications and Evaluation: Overview
  27. Altmetric Badge
    Chapter 26 Biomine: A Network-Structured Resource of Biological Entities for Link Prediction
  28. Altmetric Badge
    Chapter 27 Semantic Subgroup Discovery and Cross-Context Linking for Microarray Data Analysis
  29. Altmetric Badge
    Chapter 28 Contrast Mining from Interesting Subgroups
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    Chapter 29 Link and Node Prediction in Metabolic Networks with Probabilistic Logic
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    Chapter 30 Modelling a Biological System: Network Creation by Triplet Extraction from Biological Literature
  32. Altmetric Badge
    Chapter 31 Bisociative Exploration of Biological and Financial Literature Using Clustering
  33. Altmetric Badge
    Chapter 32 Bisociative Discovery in Business Process Models
  34. Altmetric Badge
    Chapter 33 Bisociative Music Discovery and Recommendation
Attention for Chapter 13: Simplification of Networks by Edge Pruning
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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 (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
45 Mendeley
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Chapter title
Simplification of Networks by Edge Pruning
Chapter number 13
Book title
Bisociative Knowledge Discovery
Published in
Lecture notes in computer science, February 2016
DOI 10.1007/978-3-642-31830-6_13
Book ISBNs
978-3-64-231829-0, 978-3-64-231830-6
Authors

Fang Zhou, Sébastien Mahler, Hannu Toivonen, Zhou, Fang, Mahler, Sébastien, Toivonen, Hannu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 27%
Student > Ph. D. Student 10 22%
Student > Doctoral Student 6 13%
Student > Bachelor 4 9%
Researcher 3 7%
Other 4 9%
Unknown 6 13%
Readers by discipline Count As %
Computer Science 20 44%
Engineering 7 16%
Mathematics 2 4%
Agricultural and Biological Sciences 2 4%
Economics, Econometrics and Finance 1 2%
Other 6 13%
Unknown 7 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 08 September 2014.
All research outputs
#3,268,394
of 22,763,032 outputs
Outputs from Lecture notes in computer science
#753
of 8,125 outputs
Outputs of similar age
#62,829
of 400,284 outputs
Outputs of similar age from Lecture notes in computer science
#124
of 530 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,125 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 90% 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 400,284 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 530 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.