Formal Concept Analysis 6th International Conference, ICFCA 2008, Montreal, Canada, February 25-28, 2008, Proceedings

Formal Concept Analysis (FCA) is a mathematical theory of concepts and c- ceptualhierarchyleadingtomethodsforconceptuallyanalyzingdataandkno- edge. The theoryitselfstronglyreliesonorderandlatticetheory,whichhasbeen studied by mathematicians over decades. FCA proved itself highly relevant in several...

Full description

Bibliographic Details
Other Authors: Medina, Raoul (Editor), Obiedkov, Sergei (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2008, 2008
Edition:1st ed. 2008
Series:Lecture Notes in Artificial Intelligence
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 04610nmm a2200421 u 4500
001 EB000380226
003 EBX01000000000000000233278
005 00000000000000.0
007 cr|||||||||||||||||||||
008 130626 ||| eng
020 |a 9783540781370 
100 1 |a Medina, Raoul  |e [editor] 
245 0 0 |a Formal Concept Analysis  |h Elektronische Ressource  |b 6th International Conference, ICFCA 2008, Montreal, Canada, February 25-28, 2008, Proceedings  |c edited by Raoul Medina, Sergei Obiedkov 
250 |a 1st ed. 2008 
260 |a Berlin, Heidelberg  |b Springer Berlin Heidelberg  |c 2008, 2008 
300 |a XII, 328 p  |b online resource 
505 0 |a Communicative Rationality, Logic, and Mathematics -- Actionability and Formal Concepts: A Data Mining Perspective -- Acquiring Generalized Domain-Range Restrictions -- A Finite Basis for the Set of -Implications Holding in a Finite Model -- Lexico-Logical Acquisition of OWL DL Axioms -- From Concepts to Concept Lattice: A Border Algorithm for Making Covers Explicit -- A Formal Context for Symmetric Dependencies -- The Number of Plane Diagrams of a Lattice -- Spectral Lattices of -Formal Contexts -- About Keys of Formal Context and Conformal Hypergraph -- An Algebraization of Linear Continuum Structures -- On the Complexity of Computing Generators of Closed Sets -- Generating Positive and Negative Exact Rules Using Formal Concept Analysis: Problems and Solutions -- On the Merge of Factor Canonical Bases -- Lattices of Rough Set Abstractions as P-Products -- Scale Coarsening as Feature Selection -- Formal Concept Analysis for the Identification of Combinatorial Biomarkers in Breast Cancer -- Handling Spatial Relations in Logical Concept Analysis to Explore Geographical Data -- Analysis of Social Communities with Iceberg and Stability-Based Concept Lattices -- Formal Concept Analysis Enhances Fault Localization in Software -- Refactorings of Design Defects Using Relational Concept Analysis -- Contingency Structures and Concept Analysis -- Comparison of Dual Orderings in Time II. 
653 |a Software engineering 
653 |a Computer science / Mathematics 
653 |a Discrete Mathematics in Computer Science 
653 |a Software Engineering 
653 |a Artificial Intelligence 
653 |a Formal Languages and Automata Theory 
653 |a Data mining 
653 |a Machine theory 
653 |a Algebra 
653 |a Artificial intelligence 
653 |a Order, Lattices, Ordered Algebraic Structures 
653 |a Data Mining and Knowledge Discovery 
653 |a Discrete mathematics 
700 1 |a Obiedkov, Sergei  |e [editor] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
490 0 |a Lecture Notes in Artificial Intelligence 
028 5 0 |a 10.1007/978-3-540-78137-0 
856 4 0 |u https://doi.org/10.1007/978-3-540-78137-0?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 006.3 
520 |a Formal Concept Analysis (FCA) is a mathematical theory of concepts and c- ceptualhierarchyleadingtomethodsforconceptuallyanalyzingdataandkno- edge. The theoryitselfstronglyreliesonorderandlatticetheory,whichhasbeen studied by mathematicians over decades. FCA proved itself highly relevant in several applications from the beginning, and, over the last years, the range of applicationshaskeptgrowing. The mainreasonfor this comesfromthe fact that our modern society has turned into an “information” society. After years and years of using computers, companies realized they had stored gigantic amounts of data. Then, they realized that this data, just rough information for them, might become a real treasure if turned into knowledge. FCA is particularly well suited for this purpose. From relational data, FCA can extract implications, - pendencies, concepts and hierarchies of concepts, and thus capture part of the knowledge hidden in the data. The ICFCA conference series gathers researchers from all over the world, being the main forum to present new results in FCA and related ?elds. These results range from theoretical novelties to advances in FCA-related algorithmic issues, as well as application domains of FCA. ICFCA 2008 was in the same vein as its predecessors: high-quality papers and presentations, the place of real debate and exchange of ideas. ICFCA 2008 contributed to strengthening the links between theory and applications. The high quality of the presentations was the result of the remarkable work of the authors and the reviewers. We wish to thank the reviewers for all their valuable comments, which helped the authors to improve their presentations