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Formal Concept Analysis

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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
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    Chapter 24 Quantitative Concept Analysis
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    Chapter 25 Some Notes on Managing Closure Operators
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    Chapter 26 Distributed Formal Concept Analysis Algorithms Based on an Iterative MapReduce Framework
Attention for Chapter 13: Understanding the Semantic Structure of Human fMRI Brain Recordings with Formal Concept Analysis
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31 Mendeley
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Chapter title
Understanding the Semantic Structure of Human fMRI Brain Recordings with Formal Concept Analysis
Chapter number 13
Book title
Formal Concept Analysis
Published by
Springer, Berlin, Heidelberg, May 2012
DOI 10.1007/978-3-642-29892-9_13
Book ISBNs
978-3-64-229891-2, 978-3-64-229892-9
Authors

Dominik Endres, Ruth Adam, Martin A. Giese, Uta Noppeney, Endres, Dominik, Adam, Ruth, Giese, Martin A., Noppeney, Uta

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 3%
Germany 1 3%
Unknown 29 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 32%
Researcher 6 19%
Professor 3 10%
Student > Bachelor 2 6%
Lecturer 2 6%
Other 4 13%
Unknown 4 13%
Readers by discipline Count As %
Computer Science 8 26%
Agricultural and Biological Sciences 5 16%
Neuroscience 3 10%
Linguistics 2 6%
Business, Management and Accounting 2 6%
Other 6 19%
Unknown 5 16%