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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 Usability Issues in Description Logic Knowledge Base Completion
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    Chapter 2 Concept Lattice Orbifolds – First Steps
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    Chapter 3 The Advent of Formal Diagrammatic Reasoning Systems
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    Chapter 4 The Logic of Learning
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    Chapter 5 What Can Formal Concept Analysis Do for Data Warehouses?
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    Chapter 6 Time and Logic: A.N. Prior’s Formal Analysis of Temporal Concepts
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    Chapter 7 Can Ontology Inform Ontologies?
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    Chapter 8 Factor Analysis of Incidence Data via Novel Decomposition of Matrices
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    Chapter 9 A Unified Hierarchy for Functional Dependencies, Conditional Functional Dependencies and Association Rules
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    Chapter 10 Robust Elements in Rough Set Abstractions
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    Chapter 11 Some Computational Problems Related to Pseudo-intents
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    Chapter 12 Exploring Finite Models in the Description Logic ${\mathcal {EL}}_{\rm gfp}$
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    Chapter 13 Yet a Faster Algorithm for Building the Hasse Diagram of a Concept Lattice
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    Chapter 14 Context Graphs — Representing Formal Concepts by Connected Subgraphs
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    Chapter 15 Handling Large Formal Context Using BDD – Perspectives and Limitations
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    Chapter 16 A Novel Approach to Cell Formation
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    Chapter 17 Identifying Ecological Traits: A Concrete FCA-Based Approach
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    Chapter 18 A Concept Lattice-Based Kernel for SVM Text Classification
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    Chapter 19 Two FCA-Based Methods for Mining Gene Expression Data
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    Chapter 20 Ontology-Based Formal Concept Differences Analysis in Radiology Report Impact by the Adoption of PACS
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    Chapter 21 Revisiting the Potentialities of a Mechanical Thesaurus
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    Chapter 22 FCA-Based Two Dimensional Pattern Matching
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    Chapter 23 RESTRUCTURING LATTICE THEORY: AN APPROACH BASED ON HIERARCHIES OF CONCEPTS
Overall attention for this book and its chapters
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Mentioned by

wikipedia
3 Wikipedia pages

Citations

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8 Dimensions

Readers on

mendeley
1 Mendeley
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Title
Formal Concept Analysis
Published by
ADS, May 2009
DOI 10.1007/978-3-642-01815-2
ISBNs
978-3-64-201814-5, 978-3-64-201815-2
Editors

Ferré, Sébastien, Rudolph, Sebastian

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Computer Science 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 February 2018.
All research outputs
#7,542,364
of 23,011,300 outputs
Outputs from ADS
#9,309
of 37,442 outputs
Outputs of similar age
#32,889
of 92,899 outputs
Outputs of similar age from ADS
#91
of 315 outputs
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So far Altmetric has tracked 37,442 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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We're also able to compare this research output to 315 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.