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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 Dark Web: Exploring and Mining the Dark Side of the Web
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    Chapter 2 Declarative Modeling for Machine Learning and Data Mining
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    Chapter 3 Can Concepts Reveal Criminals?
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    Chapter 4 Cartification: From Similarities to Itemset Frequencies
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    Chapter 5 Processes Are Concepts, Aren’t They?
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    Chapter 6 Rough Sets and FCA – Scalability Challenges
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    Chapter 7 Approximating Concept Stability
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    Chapter 8 Logical Analysis of Concept Lattices by Factorization
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    Chapter 9 Basic Level of Concepts in Formal Concept Analysis
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    Chapter 10 A Peep through the Looking Glass: Articulation Points in Lattices
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    Chapter 11 Practical Use of Formal Concept Analysis in Service-Oriented Computing
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    Chapter 12 Publication Analysis of the Formal Concept Analysis Community
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    Chapter 13 Understanding the Semantic Structure of Human fMRI Brain Recordings with Formal Concept Analysis
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    Chapter 14 Cubes of Concepts: Multi-dimensional Exploration of Multi-valued Contexts
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    Chapter 15 Ordinal Factor Analysis
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    Chapter 16 A Macroscopic Approach to FCA and Its Various Fuzzifications
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    Chapter 17 A Connection between Clone Theory and FCA Provided by Duality Theory
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    Chapter 18 Formal Concept Discovery in Semantic Web Data
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    Chapter 19 Concept Lattices of Incomplete Data
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    Chapter 20 Formal Concept Analysis as a Framework for Business Intelligence Technologies
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    Chapter 21 Good Classification Tests as Formal Concepts
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    Chapter 22 Modeling Preferences over Attribute Sets in Formal Concept Analysis
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    Chapter 23 Finding Top- N Colossal Patterns Based on Clique Search with Dynamic Update of Graph
  25. Altmetric Badge
    Chapter 24 Quantitative Concept Analysis
  26. Altmetric Badge
    Chapter 25 Some Notes on Managing Closure Operators
  27. Altmetric Badge
    Chapter 26 Distributed Formal Concept Analysis Algorithms Based on an Iterative MapReduce Framework
Attention for Chapter 26: Distributed Formal Concept Analysis Algorithms Based on an Iterative MapReduce Framework
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Chapter title
Distributed Formal Concept Analysis Algorithms Based on an Iterative MapReduce Framework
Chapter number 26
Book title
Formal Concept Analysis
Published in
arXiv, October 2012
DOI 10.1007/978-3-642-29892-9_26
Book ISBNs
978-3-64-229891-2, 978-3-64-229892-9
Authors

Biao Xu, Ruairí de Fréin, Eric Robson, Mícheál Ó Foghlú, Xu, Biao, de Fréin, Ruairí, Robson, Eric, Ó Foghlú, Mícheál

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 44%
Student > Ph. D. Student 3 33%
Unknown 2 22%
Readers by discipline Count As %
Computer Science 5 56%
Medicine and Dentistry 1 11%
Engineering 1 11%
Unknown 2 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 October 2012.
All research outputs
#20,169,675
of 22,681,577 outputs
Outputs from arXiv
#665,724
of 929,262 outputs
Outputs of similar age
#153,467
of 172,607 outputs
Outputs of similar age from arXiv
#2,383
of 3,905 outputs
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We're also able to compare this research output to 3,905 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.