Formal concept analysis [electronic resource] : 13th International Conference, ICFCA 2015, Nerja, Spain, June 23-26, 2015, Proceedings / Jaume Baixeries, Christian Sacarea, Manuel Ojeda-Aciego (eds.).
2015
QA76.9.M35 I58 2015eb
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Title
Formal concept analysis [electronic resource] : 13th International Conference, ICFCA 2015, Nerja, Spain, June 23-26, 2015, Proceedings / Jaume Baixeries, Christian Sacarea, Manuel Ojeda-Aciego (eds.).
ISBN
9783319195452 electronic book
331919545X electronic book
9783319195445
331919545X electronic book
9783319195445
Published
Cham : Springer, 2015.
Language
English
Description
1 online resource (xii, 319 pages) : illustrations.
Item Number
10.1007/978-3-319-19545-2 doi
Call Number
QA76.9.M35 I58 2015eb
Dewey Decimal Classification
004.01/51
Summary
This book constitutes the refereed proceedings of the 13th International Conference on Formal Concept Analysis, ICFCA 2015, held in Neja, Spain, in June 2015. The 16 revised full papers presented were carefully reviewed and selected from 38 submissions. The topics in this volume cover theoretical aspects of FCA; methods and applications of FCA to different fields and enhanced FCA that show new trends in FCA, for instance, pattern structures of fuzzy FCA.
Note
International conference proceedings.
Includes author index.
Includes author index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed June 4, 2015).
Added Author
Baixeries, Jaume, editor.
Sacarea, Christian, editor.
Ojeda-Aciego, Manuel, 1967- editor.
Sacarea, Christian, editor.
Ojeda-Aciego, Manuel, 1967- editor.
Series
Lecture notes in computer science. Lecture notes in artificial intelligence ; 9113.
LNCS sublibrary. SL 7, Artificial intelligence.
LNCS sublibrary. SL 7, Artificial intelligence.
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Table of Contents
Theoretical aspects of FCA
Methods and applications of FCA to different fields
Enhanced FCA that show new trends in FCA
Pattern structures of fuzzy FCA.
Methods and applications of FCA to different fields
Enhanced FCA that show new trends in FCA
Pattern structures of fuzzy FCA.