Formal Concept Analysis 17th International Conference, ICFCA 2023, Kassel, Germany, July 17–21, 2023, Proceedings /

Formal Concept Analysis 17th International Conference, ICFCA 2023, Kassel, Germany, July 17–21, 2023, Proceedings / [electronic resource] : edited by Dominik Dürrschnabel, Domingo López Rodríguez. - 1st ed. 2023. - XXVIII, 199 p. 47 illus., 14 illus. in color. online resource. - Lecture Notes in Artificial Intelligence, 13934 2945-9141 ; . - Lecture Notes in Artificial Intelligence, 13934 .

Theory: Approximating fuzzy relation equations through concept lattices -- Doubly-Lexical Order Supports Standardisation and Recursive Partitioning of Formal Context -- Graph-FCA Meets Pattern Structures -- On the commutative diagrams among Galois connections involved in closure structures -- Scaling Dimension -- Three Views on Dependency Covers from an FCA Perspective -- A Triadic Generalisation of the Boolean Concept Lattice -- Applications and Visualization: Computing witnesses for centralising monoids on a three-element set -- Description Quivers for Compact Representation of Concept Lattices and Ensembles of Decision Trees -- Examples of clique closure systems -- On the maximal independence polynomial of the covering graph of the hypercube up to n=6 -- Relational Concept Analysis in Practice: Capitalizing on Data Modeling using Design Patterns -- Representing Concept Lattices with Euler Diagrams.

This book constitutes the proceedings of the 17th International Conference on Formal Concept Analysis, ICFCA 2023, which took place in Kassel, Germany, in July 2023. The 13 full papers presented in this volume were carefully reviewed and selected from 19 submissions. The International Conference on Formal Concept Analysis serves as a platform for researchers from FCA and related disciplines to showcase and exchange their research findings. The papers are organized in two topical sections, first "Theory" and second "Applications and Visualization".

9783031359491

10.1007/978-3-031-35949-1 doi


Artificial intelligence.
Data mining.
Database management.
Computer science.
Application software.
Computer science--Mathematics.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Database Management System.
Theory of Computation.
Computer and Information Systems Applications.
Mathematics of Computing.

Q334-342 TA347.A78

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