Franklin

Formal Concept Analysis : 11th International Conference, ICFCA 2013, Dresden, Germany, May 21-24, 2013, Proceedings / edited by Peggy Cellier, Felix Distel, Bernhard Ganter.

Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Format/Description:
Book
1 online resource (X, 267 pages) : 57 illustrations
Edition:
1st ed. 2013.
Series:
Computer Science (Springer-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence 7880
Lecture Notes in Artificial Intelligence ; 7880
Contained In:
Springer eBooks
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Subjects:
Artificial intelligence.
Data mining.
Logic, Symbolic and mathematical.
Software engineering.
Algebra.
Ordered algebraic structures.
Local subjects:
Artificial Intelligence. (search)
Data Mining and Knowledge Discovery. (search)
Mathematical Logic and Formal Languages. (search)
Software Engineering. (search)
Order, Lattices, Ordered Algebraic Structures. (search)
System Details:
text file PDF
Summary:
This book constitutes the refereed proceedings of the 11th International Conference on Formal Concept Analysis, ICFCA 2013, held in Dresden, Germany, in May 2013. The 15 regular papers presented in this volume were carefully reviewed and selected from 46 submissions. The papers present current research from a thriving theoretical community and a rapidly expanding range of applications in information and knowledge processing including data visualization and analysis (mining), knowledge management, as well as Web semantics, and software engineering. In addition the book contains a reprint of the first publication in english describing the seminal stem-base construction by Guigues and Duquenne; and a position paper pointing out potential future applications of FCA.
Contents:
Contextual Implications between Attributes and Some Representation Properties for Finite Lattices
Mathematical Morphology Operators over Concept Lattices
Dismantlable Lattices in the Mirror
Towards an Error-Tolerant Construction of EL⊥-Ontologies from Data Using Formal Concept Analysis
Using Pattern Structures for Analyzing Ontology-Based Annotations of Biomedical Data
Formal Concept Analysis via Atomic Priming
Applications of Ordinal Factor Analysis
Tri-ordinal Factor Analysis
Formal F-contexts and Their Induced Implication Rule Systems
User-Friendly Fuzzy FCA
Proper Mergings of Stars and Chains Are Counted by Sums of Antidiagonals in Certain Convolution Arrays
Modeling Ceteris Paribus Preferences in Formal Concept Analysis
Concept-Forming Operators on Multilattices
Using FCA to Analyse How Students Learn to Program
Soundness and Completeness of Relational Concept Analysis
Contextual Uniformities
Fitting Pattern Structures to Knowledge Discovery in Big Data.
Contributor:
Cellier, Peggy, editor., Editor,
Distel, Felix, editor., Editor,
Ganter, Bernhard, editor., Editor,
SpringerLink (Online service)
Other format:
Printed edition:
Printed edition:
ISBN:
978-3-642-38317-5
9783642383175
Publisher Number:
10.1007/978-3-642-38317-5 doi
Access Restriction:
Restricted for use by site license.