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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 Inductive Databases and Constraint-Based Data Mining
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    Chapter 2 What’s Happening in Semantic Web
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    Chapter 3 Galois Connections in Axiomatic Aggregation
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    Chapter 4 Backing Composite Web Services Using Formal Concept Analysis
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    Chapter 5 Enumerating Minimal Hypotheses and Dualizing Monotone Boolean Functions on Lattices
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    Chapter 6 Border Algorithms for Computing Hasse Diagrams of Arbitrary Lattices
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    Chapter 7 Selecting Important Concepts Using Weights
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    Chapter 8 Some Complexity Results about Essential Closed Sets
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    Chapter 9 A Context-Based Description of the Doubly Founded Concept Lattices in the Variety Generated by M 3
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    Chapter 10 Factorization with Hierarchical Classes Analysis and with Formal Concept Analysis
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    Chapter 11 Gene Expression Array Exploration Using $\mathcal{K}$ -Formal Concept Analysis
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    Chapter 12 Biclustering Numerical Data in Formal Concept Analysis
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    Chapter 13 Object Configuration Browsing in Relational Databases
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    Chapter 14 On Factorization of Concept Lattices by Incompatible Tolerances
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    Chapter 15 Formal Concept Analysis
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    Chapter 16 Mining Triadic Association Rules from Ternary Relations
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    Chapter 17 The Agree Concept Lattice for Multidimensional Database Analysis
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    Chapter 18 Abstract Concept Lattices
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    Chapter 19 Exploring the Information Space of Cultural Collections Using Formal Concept Analysis
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Title
Formal Concept Analysis
Published by
Springer, Berlin, Heidelberg, January 2011
DOI 10.1007/978-3-642-20514-9
ISBNs
978-3-64-220513-2, 978-3-64-220514-9
Authors

Valtchev, Petko, Jäschke, Robert

Editors

Petko Valtchev, Robert Jäschke

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