Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10308)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: ICFCA 2017.
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Table of contents (15 papers)
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Invited Contribution
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Historical Paper
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Regular Contributions
Other volumes
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Formal Concept Analysis
Keywords
- formal concept analysis
- database systems
- information analysis
- concept lattices
- formal contexts
- machine learning systems
- knowledge representation
- software engineering
- data mining
- online learning algorithms
- unsupervised learning and clustering
- query learning
- logic and databases
- probabilistic algorithms
- relational database model
- uncertainty
- expert systems
- association rules
About this book
The 13 full papers presented in this volume were carefully reviewed and selected from 37 submissions. The book also contains an invited contribution and a historical paper translated from German and originally published in “Die Klassifkation und ihr Umfeld”, edited by P. O. Degens, H. J. Hermes, and O. Opitz, Indeks-Verlag, Frankfurt, 1986.
The field of Formal Concept Analysis (FCA) originated in the 1980s in Darmstadt as a subfield of mathematical order theory, with prior developments in other research groups. Its original motivation was to consider complete lattices as lattices of concepts, drawing motivation from philosophy and mathematics alike. FCA has since then developed into a wide research area with applications much beyond its original motivation, for example in logic, data mining, learning, and psychology.
Editors and Affiliations
Bibliographic Information
Book Title: Formal Concept Analysis
Book Subtitle: 14th International Conference, ICFCA 2017, Rennes, France, June 13-16, 2017, Proceedings
Editors: Karell Bertet, Daniel Borchmann, Peggy Cellier, Sébastien Ferré
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-59271-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-59270-1Published: 19 May 2017
eBook ISBN: 978-3-319-59271-8Published: 02 June 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVIII, 243
Number of Illustrations: 79 b/w illustrations
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Computer Appl. in Administrative Data Processing, Software Engineering, Management of Computing and Information Systems