Concept Lattices

Table of Contents

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   Book Overview
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   Chapter 1 Preconcept Algebras and Generalized Double Boolean Algebras
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   Chapter 2 Protoconcept Graphs: The Lattice of Conceptual Contents
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   Chapter 3 Signs and Formal Concepts
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   Chapter 4 A Mathematical Model for TOSCANA-Systems: Conceptual Data Systems
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   Chapter 5 Concept Lattices
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   Chapter 6 Formal Concept Analysis: Its Role in Teaching Lattice Theory
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   Chapter 7 Concept Lattices for Information Visualization: Can Novices Read Line-Diagrams?
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   Chapter 8 Browsing Search Results via Formal Concept Analysis: Automatic Selection of Attributes
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    Chapter 9 Formal Concept Analysis and Semantic File Systems
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    Chapter 10 Numerical Analysis in Conceptual Systems with ToscanaJ
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    Chapter 11 Tool Support for FCA
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    Chapter 12 Automated Lattice Drawing
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    Chapter 13 Congruences of Finite Distributive Concept Algebras
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    Chapter 14 When Is a Concept Algebra Boolean?
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    Chapter 15 Background Knowledge in Concept Graphs
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    Chapter 16 Agreement Contexts in Formal Concept Analysis
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    Chapter 17 Towards a Conceptual Theory of Indistinguishable Objects
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    Chapter 18 Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies
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    Chapter 19 A First Step towards Protoconcept Exploration
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    Chapter 20 Geometry of Data Tables
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    Chapter 21 Concept Extensions and Weak Clusters Associated with Multiway Dissimilarity Measures
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    Chapter 22 Unlocking the Semantics of Roget’s Thesaurus Using Formal Concept Analysis
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    Chapter 23 FCA in Knowledge Technologies: Experiences and Opportunities
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    Chapter 24 Applying Formal Concept Analysis to Description Logics
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    Chapter 25 Machine Learning and Formal Concept Analysis
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    Chapter 26 A Comparative Study of FCA-Based Supervised Classification Algorithms
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    Chapter 27 Modelling Tacit Knowledge via Questionnaire Data
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    Chapter 28 Predicate Invention and the Revision of First-Order Concept Lattices
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    Chapter 29 The Power of Peircean Algebraic Logic (PAL)
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    Chapter 30 Formal Concept Analysis for Knowledge Discovery and Data Mining: The New Challenges
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    Chapter 31 AddIntent: A New Incremental Algorithm for Constructing Concept Lattices
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    Chapter 32 QuDA: Applying Formal Concept Analysis in a Data Mining Environment
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    Chapter 33 A Parallel Algorithm to Generate Formal Concepts for Large Data
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    Chapter 34 Using Concept Lattices for Requirements Reconciliation