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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
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    Chapter 1 About the Enumeration Algorithms of Closed Sets
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    Chapter 2 Mathematics Presenting, Reflecting, Judging
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    Chapter 3 The Role of Concept, Context, and Component for Dependable Software Development
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    Chapter 4 Statistical Methods for Data Mining and Knowledge Discovery
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    Chapter 5 Formal Concept Analysis of Two-Dimensional Convex Continuum Structures
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    Chapter 6 Counting of Moore Families for n=7
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    Chapter 7 Lattice Drawings and Morphisms
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    Chapter 8 Approximations in Concept Lattices
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    Chapter 9 Hardness of Enumerating Pseudo-intents in the Lectic Order
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    Chapter 10 On Links between Concept Lattices and Related Complexity Problems
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    Chapter 11 An Algorithm for Extracting Rare Concepts with Concise Intents
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    Chapter 12 Conditional Functional Dependencies: An FCA Point of View
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    Chapter 13 Constrained Closed Datacubes
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    Chapter 14 Conceptual Navigation in RDF Graphs with SPARQL-Like Queries
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    Chapter 15 An Approach to Exploring Description Logic Knowledge Bases
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    Chapter 16 On Categorial Grammars as Logical Information Systems
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    Chapter 17 Describing Role Models in Terms of Formal Concept Analysis
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    Chapter 18 Approaches to the Selection of Relevant Concepts in the Case of Noisy Data
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    Chapter 19 Concept Analysis as a Framework for Mining Functional Features from Legacy Code
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    Chapter 20 Concept Neighbourhoods in Lexical Databases
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    Chapter 21 A Survey of Hybrid Representations of Concept Lattices in Conceptual Knowledge Processing
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    Chapter 22 Two Basic Algorithms in Concept Analysis
Attention for Chapter 4: Statistical Methods for Data Mining and Knowledge Discovery
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Chapter title
Statistical Methods for Data Mining and Knowledge Discovery
Chapter number 4
Book title
Formal Concept Analysis
Published by
Springer, Berlin, Heidelberg, March 2010
DOI 10.1007/978-3-642-11928-6_4
Book ISBNs
978-3-64-211927-9, 978-3-64-211928-6
Authors

Jean Vaillancourt, Vaillancourt, Jean

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 1 7%
Canada 1 7%
Unknown 13 87%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 33%
Student > Ph. D. Student 5 33%
Professor > Associate Professor 2 13%
Student > Doctoral Student 1 7%
Researcher 1 7%
Other 1 7%
Readers by discipline Count As %
Computer Science 8 53%
Business, Management and Accounting 2 13%
Mathematics 2 13%
Engineering 2 13%
Social Sciences 1 7%
Other 0 0%