Concept Lattices: Second International Conference on Formal Concept Analysis, ICFCA 2004, Sydney, Australia, February 23-26, 2004, Proceedings / Edition 1

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This book constitutes the refereed proceedings of the Second International Conference on Formal Concept Analysis, ICFCA 2004, held in Sydney, Australia in February 2004. The 27 revised full papers presented together with 7 invited papers were carefully reviewed and selected for inclusion in the book. Formal concept analysis emerged out of efforts to restructure lattice theory and has been extended into attribute exploration, Boolean judgment, and contextual logics in order to create a powerful general framework for knowledge representation and formal reasoning; among the application areas of formal concept analysis are data and knowledge processing, data visualization, information retrieval, machine learning, data analysis, and knowledge management. The papers in this book address all current issues in formal concept analysis, ranging from foundational and methodological issues to applications in various fields.

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Table of Contents

Preconcept algebras and generalized double boolean algebras 1
Protoconcept graphs : the lattice of conceptual contents 14
Signs and formal concepts 28
A mathematical model for TOSCANA-systems : conceptual data systems 39
BLID : an application of logical information systems to bioinformatics 47
Formal concept analysis : its role in teaching lattice theory 55
Concept lattices for information visualization : can novices read line-diagrams? 57
Browsing search results via formal concept analysis : automatic selection of attributes 74
Formal concept analysis and semantic file systems 88
Numerical analysis in conceptual systems with ToscanaJ 96
Tool support for FCA 104
Automated lattice drawing 112
Congruences of finite distributive concept algebras 128
When is a concept algebra boolean? 142
Background knowledge in concept graphs 156
Agreement contexts in formal concept analysis 172
Towards a conceptual theory of indistinguishable objects 180
Conceptual knowledge processing with formal concept analysis and ontologies 189
A first step towards protoconcept exploration 208
Geometry of data tables 222
Concept extensions and weak clusters associated with multiway dissimilarity measures 236
Unlocking the semantics of Roget's thesaurus using formal concept analysis 244
FCA in knowledge technologies : experiences and opportunities 252
Applying formal concept analysis to description logics 261
Machine learning and formal concept analysis 287
A comparative study of FCA-based supervised classification algorithms 313
Modelling tacit knowledge via questionnaire data 321
Predicate invention and the revision of first-order concept lattices 329
The power of Peircean algebraic logic (PAL) 337
Formal concept analysis for knowledge discovery and data mining : the new challenges 352
AddIntent : a new incremental algorithm for constructing concept lattices 372
QuDA : applying formal concept analysis in a data mining environment 386
A parallel algorithm to generate formal concepts for large data 394
Using concept lattices for requirements reconciliation 402
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