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Formal Concept Analysis

Overview of attention for book
Cover of 'Formal Concept Analysis'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Elements About Exploratory, Knowledge-Based, Hybrid, and Explainable Knowledge Discovery
  3. Altmetric Badge
    Chapter 2 Too Much Information: Can AI Cope with Modern Knowledge Graphs?
  4. Altmetric Badge
    Chapter 3 Learning Implications from Data and from Queries
  5. Altmetric Badge
    Chapter 4 Concepts in Application Context
  6. Altmetric Badge
    Chapter 5 Direct and Binary Direct Bases for One-Set Updates of a Closure System
  7. Altmetric Badge
    Chapter 6 Reduction and Introducers in d -contexts
  8. Altmetric Badge
    Chapter 7 Dualization in Lattices Given by Implicational Bases
  9. Altmetric Badge
    Chapter 8 “ Properties of Finite Lattices ” by S. Reeg and W. Weiß, Revisited
  10. Altmetric Badge
    Chapter 9 Joining Implications in Formal Contexts and Inductive Learning in a Horn Description Logic
  11. Altmetric Badge
    Chapter 10 Lattices of Orders
  12. Altmetric Badge
    Chapter 11 On-demand Relational Concept Analysis
  13. Altmetric Badge
    Chapter 12 Mining Formal Concepts Using Implications Between Items
  14. Altmetric Badge
    Chapter 13 Effects of Input Data Formalisation in Relational Concept Analysis for a Data Model with a Ternary Relation
  15. Altmetric Badge
    Chapter 14 Parallelization of the GreConD Algorithm for Boolean Matrix Factorization
  16. Altmetric Badge
    Chapter 15 Simultaneous, Polynomial-Time Layout of Context Bigraph and Lattice Digraph
  17. Altmetric Badge
    Chapter 16 Using Redescriptions and Formal Concept Analysis for Mining Definitions in Linked Data
  18. Altmetric Badge
    Chapter 17 A Formal Context for Closures of Acyclic Hypergraphs
  19. Altmetric Badge
    Chapter 18 Concept Lattices as a Search Space for Graph Compression
  20. Altmetric Badge
    Chapter 19 A Relational Extension of Galois Connections
  21. Altmetric Badge
    Chapter 20 Sampling Representation Contexts with Attribute Exploration
  22. Altmetric Badge
    Chapter 21 Discovering Implicational Knowledge in Wikidata
  23. Altmetric Badge
    Chapter 22 A Characterization Theorem for Continuous Lattices by Closure Spaces
  24. Altmetric Badge
    Chapter 23 On Coupling FCA and MDL in Pattern Mining
  25. Altmetric Badge
    Chapter 24 A Study of Boolean Matrix Factorization Under Supervised Settings
Attention for Chapter 21: Discovering Implicational Knowledge in Wikidata
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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16 X users

Citations

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Readers on

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26 Mendeley
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Chapter title
Discovering Implicational Knowledge in Wikidata
Chapter number 21
Book title
Formal Concept Analysis
Published in
arXiv, June 2019
DOI 10.1007/978-3-030-21462-3_21
Book ISBNs
978-3-03-021461-6, 978-3-03-021462-3
Authors

Tom Hanika, Maximilian Marx, Gerd Stumme, Hanika, Tom, Marx, Maximilian, Stumme, Gerd

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 19%
Other 3 12%
Student > Ph. D. Student 3 12%
Student > Master 3 12%
Student > Doctoral Student 2 8%
Other 2 8%
Unknown 8 31%
Readers by discipline Count As %
Computer Science 17 65%
Agricultural and Biological Sciences 1 4%
Unknown 8 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 28 June 2019.
All research outputs
#3,657,996
of 25,331,507 outputs
Outputs from arXiv
#65,125
of 1,034,651 outputs
Outputs of similar age
#71,233
of 357,953 outputs
Outputs of similar age from arXiv
#1,981
of 26,486 outputs
Altmetric has tracked 25,331,507 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,034,651 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 93% 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 357,953 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 80% of its contemporaries.
We're also able to compare this research output to 26,486 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 92% of its contemporaries.