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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 Relational Galois Connections
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    Chapter 2 Semantology as Basis for Conceptual Knowledge Processing
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    Chapter 3 A New and Useful Syntactic Restriction on Rule Semantics for Tabular Datasets
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    Chapter 4 A Proposal for Combining Formal Concept Analysis and Description Logics for Mining Relational Data
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    Chapter 5 Computing Intensions of Digital Library Collections
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    Chapter 6 Custom Asymmetric Page Split Generalized Index Search Trees and Formal Concept Analysis
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    Chapter 7 The Efficient Computation of Complete and Concise Substring Scales with Suffix Trees
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    Chapter 8 A Parameterized Algorithm for Exploring Concept Lattices
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    Chapter 9 About the Lossless Reduction of the Minimal Generator Family of a Context
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    Chapter 10 Some Notes on Pseudo-closed Sets
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    Chapter 11 Performances of Galois Sub-hierarchy-building Algorithms
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    Chapter 12 Galois Connections Between Semimodules and Applications in Data Mining
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    Chapter 13 On Multi-adjoint Concept Lattices: Definition and Representation Theorem
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    Chapter 14 Base Points, Non-unit Implications, and Convex Geometries
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    Chapter 15 Lattices of Relatively Axiomatizable Classes
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    Chapter 16 A Solution of the Word Problem for Free Double Boolean Algebras
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    Chapter 17 On the MacNeille Completion of Weakly Dicomplemented Lattices
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    Chapter 18 Polynomial Embeddings and Representations
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    Chapter 19 The Basic Theorem on Labelled Line Diagrams of Finite Concept Lattices
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    Chapter 20 Bipartite Ferrers-Graphs and Planar Concept Lattices
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Citations

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Title
Formal Concept Analysis
Published by
Springer Berlin Heidelberg, May 2007
DOI 10.1007/978-3-540-70901-5
ISBNs
978-3-54-070828-5, 978-3-54-070901-5
Editors

Kuznetsov, Sergei O., Schmidt, Stefan

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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 %
Spain 1 25%
Unknown 3 75%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 100%
Researcher 2 50%
Readers by discipline Count As %
Computer Science 3 75%
Unspecified 2 50%
Agricultural and Biological Sciences 1 25%

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