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Formal Concept Analysis

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Cover of 'Formal Concept Analysis'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Formal Concept Analysis
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    Chapter 2 Formal Concept Analysis from the Standpoint of Possibility Theory
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    Chapter 3 Measuring the Implications of the D -Basis in Analysis of Data in Biomedical Studies
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    Chapter 4 Formal Concept Analysis and Information Retrieval – A Survey
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    Chapter 5 Bonds Between $$L$$ -Fuzzy Contexts Over Different Structures of Truth-Degrees
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    Chapter 6 The Linear Algebra in Formal Concept Analysis over Idempotent Semifields
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    Chapter 7 On Closure Systems and Adjunctions Between Fuzzy Preordered Sets
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    Chapter 8 Extensional Confluences and Local Closure Operators
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    Chapter 9 A Note on Pattern Structures and Their Projections
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    Chapter 10 Exploring Pattern Structures of Syntactic Trees for Relation Extraction
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    Chapter 11 Totally Balanced Formal Context Representation
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    Chapter 12 Randomized Fuzzy Formal Contexts and Relevance of One-Sided Concepts
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    Chapter 13 Revisiting Pattern Structure Projections
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    Chapter 14 Exploring Faulty Data
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    Chapter 15 Automatic Validation of Terminology by Means of Formal Concept Analysis
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    Chapter 16 Towards a Navigation Paradigm for Triadic Concepts
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    Chapter 17 A Proposal for Extending Formal Concept Analysis to Knowledge Graphs
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    Chapter 18 Simple Undirected Graphs as Formal Contexts
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    Chapter 19 A Conceptual Approach for Relational IR: Application to Legal Collections
Attention for Chapter 1: Formal Concept Analysis
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Chapter title
Formal Concept Analysis
Chapter number 1
Book title
Formal Concept Analysis
Published in
Lecture notes in computer science, March 2016
DOI 10.1007/978-3-319-19545-2_1
Book ISBNs
978-3-31-919544-5, 978-3-31-919545-2
Authors

Balcázar Navarro, José Luis, José L. Balcázar

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 50%
Other 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 2 50%
Pharmacology, Toxicology and Pharmaceutical Science 1 25%
Unknown 1 25%
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 09 March 2016.
All research outputs
#20,313,158
of 22,854,458 outputs
Outputs from Lecture notes in computer science
#6,989
of 8,127 outputs
Outputs of similar age
#252,818
of 299,380 outputs
Outputs of similar age from Lecture notes in computer science
#179
of 224 outputs
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We're also able to compare this research output to 224 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.