Formal Concept Analysis 15th International Conference, ICFCA 2019, Frankfurt, Germany, June 25-28, 2019, Proceedings /
This book constitutes the proceedings of the 15th International Conference on Formal Concept Analysis, ICFCA 2019, held in Frankfurt am Main, Germany, in June 2019. The 15 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 36 submissions. The book also...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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Έκδοση: | 1st ed. 2019. |
Σειρά: | Lecture Notes in Artificial Intelligence ;
11511 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Invited papers
- Elements about Hybrid, Exploratory, and Explainable Knowledge Discovery
- Too Much Information: Can AI Cope With Modern Knowledge Graphs
- Learning Implications from Data and from Queries
- Concepts in Application Context
- Theory
- Direct and Binary Direct Bases for One-set Updates of a Closure System
- Dualization in lattices given by implicational bases
- Properties of Finite Lattices
- Joining Implications in Formal Contexts and Inductive Learning in a Horn Description Logic
- Methods and Applications
- On-demand Relational Concept Analysis
- Mining Formal Concepts using Implications between Items
- Effects of Input Data Formalisation in Relational Concept Analysis for a Data Model with a Ternary Relation
- Parallelization of the GreConD Algorithm for Boolean Matrix Factorization
- Simultaneous, polynomial-time layout of Context Bigraph and Lattice Digraph
- Using Redescriptions and Formal Concept Analysis for Mining Definitions in Linked Data
- Enhanced FCA
- A Formal Context for Closures of Acyclic Hypergraphs
- Concept lattices as a search space for graph compression
- A relational extension of Galois Connections
- Short Papers
- Sampling Representation Contexts with Attribute Exploration
- Discovering Implicational Knowledge in Wikidata
- A characterization theorem for continuous lattices by closure spaces
- On Coupling FCA and MDL in Pattern Mining
- A Study of Boolean Matrix Factorization Under Supervised Settings.