↓ Skip to main content

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 About the Enumeration Algorithms of Closed Sets
  3. Altmetric Badge
    Chapter 2 Mathematics Presenting, Reflecting, Judging
  4. Altmetric Badge
    Chapter 3 The Role of Concept, Context, and Component for Dependable Software Development
  5. Altmetric Badge
    Chapter 4 Statistical Methods for Data Mining and Knowledge Discovery
  6. Altmetric Badge
    Chapter 5 Formal Concept Analysis of Two-Dimensional Convex Continuum Structures
  7. Altmetric Badge
    Chapter 6 Counting of Moore Families for n=7
  8. Altmetric Badge
    Chapter 7 Lattice Drawings and Morphisms
  9. Altmetric Badge
    Chapter 8 Approximations in Concept Lattices
  10. Altmetric Badge
    Chapter 9 Hardness of Enumerating Pseudo-intents in the Lectic Order
  11. Altmetric Badge
    Chapter 10 On Links between Concept Lattices and Related Complexity Problems
  12. Altmetric Badge
    Chapter 11 An Algorithm for Extracting Rare Concepts with Concise Intents
  13. Altmetric Badge
    Chapter 12 Conditional Functional Dependencies: An FCA Point of View
  14. Altmetric Badge
    Chapter 13 Constrained Closed Datacubes
  15. Altmetric Badge
    Chapter 14 Conceptual Navigation in RDF Graphs with SPARQL-Like Queries
  16. Altmetric Badge
    Chapter 15 An Approach to Exploring Description Logic Knowledge Bases
  17. Altmetric Badge
    Chapter 16 On Categorial Grammars as Logical Information Systems
  18. Altmetric Badge
    Chapter 17 Describing Role Models in Terms of Formal Concept Analysis
  19. Altmetric Badge
    Chapter 18 Approaches to the Selection of Relevant Concepts in the Case of Noisy Data
  20. Altmetric Badge
    Chapter 19 Concept Analysis as a Framework for Mining Functional Features from Legacy Code
  21. Altmetric Badge
    Chapter 20 Concept Neighbourhoods in Lexical Databases
  22. Altmetric Badge
    Chapter 21 A Survey of Hybrid Representations of Concept Lattices in Conceptual Knowledge Processing
  23. Altmetric Badge
    Chapter 22 Two Basic Algorithms in Concept Analysis
Overall attention for this book and its chapters
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

patent
1 patent
wikipedia
1 Wikipedia page

Readers on

mendeley
4 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Formal Concept Analysis
Published by
ADS, April 2010
DOI 10.1007/978-3-642-11928-6
ISBNs
978-3-64-211927-9, 978-3-64-211928-6
Editors

Kwuida, Léonard, Sertkaya, Barış

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 25%
Unknown 3 75%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Unknown 3 75%
Readers by discipline Count As %
Computer Science 1 25%
Unknown 3 75%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 01 November 2022.
All research outputs
#4,754,698
of 23,016,919 outputs
Outputs from ADS
#4,576
of 37,443 outputs
Outputs of similar age
#20,404
of 95,566 outputs
Outputs of similar age from ADS
#63
of 384 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 37,443 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 81% 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 95,566 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 72% of its contemporaries.
We're also able to compare this research output to 384 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.