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Conceptual Knowledge Structures Second International Joint Conference, CONCEPTS 2025, Cluj-Napoca, Romania, September 8–12, 2025, Proceedings

Aus der Reihe Lecture Notes in Artificial Intelligence
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Beschreibung

This book constitutes the refereed proceedings of the Second International Joint Conference on Conceptual Knowledge Structures, CONCEPTS 2025, held in Cluj-Napoca, Romania, during September 8–12, 2025.

The 25 full papers and 2 short papers included in this book were carefully reviewed and selected from...

Beschreibung

This book constitutes the refereed proceedings of the Second International Joint Conference on Conceptual Knowledge Structures, CONCEPTS 2025, held in Cluj-Napoca, Romania, during September 8–12, 2025.


The 25 full papers and 2 short papers included in this book were carefully reviewed and selected from 33 submissions. They were organized in topical sections as follows: Methodology; Patterns, Clusters, Visualization and Software; Data Analysis; and Theory.


 

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

06.09.2025
Abbildungen

XXV, 438 p. 151 illus., 88 illus. in color.
Herausgeber Peggy Cellier + weitere

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

06.09.2025
Abbildungen

XXV, 438 p. 151 illus., 88 illus. in color.
Herausgeber
Verlag Springer
Seitenzahl

438
Maße (L/B/H)

23,5/15,5/2,5 cm
Gewicht

698 g
Sprache

Englisch
ISBN

978-3-032-03363-5
Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Conceptual Knowledge Structures

  • .-
    Methodology
    .


    .- Conceptual Topic Aggregation.


    .- The Geometric Structure of Topic Models


    .- Relational Concept Analysis and Graph-FCA in Practice: Analyzing Multirelational Data.


    .- Reduced Subcontext Completion in Lattices and Concept Lattices.


    .- Limitations of attribute derivations for approximating user-based attribute weighting.


    .- Moregraph: Metadata-driven Enterprise Architecture using Conceptual Structures.


    .- LLM-Assisted Concept Analysis for Class Model Restructuring.


    .- Empowering Relational Concept Analysis using Large Language Model knowledge delivery.


    .-
    Patterns, Clusters, Visualization and Software
    .


    .- Towards Explainable Clustering in Process Mining and Sequential Pattern Mining: A Formal Framework.


    .- A Proposal for Building a Compact and Tunable Representation of a Concept Lattice Based on Clustering.


    .- Atomic Patterns for Efficient Computation with Pattern Structures.


    .- Layout Decisions for Tabular Euler Diagrams.


    .- Spanning Concept Trees: Enhanced Algorithm and Visualisation.


    .- Closure versus Dualization: A Comparison of Software Tools for Formal Concept Analysis.


    .-
    Data Analysis
    .


    .- Comparative analysis of COVID-19 vaccines applied in Mexico through FCA.


    .- Metatheoretic Structuralism Meets Formal Concept Analysis.


    .- Qualitative and Quantitative Analyses of C. elegans’ Perception with Concept Lattices as Information Channels.


    .- Image processing in Boolean matrix factorization.


    .- On distance functions between closure systems and their application in industrial maps.


    .-
    Theory
    .


    .- When Horn is All You Need.


    .- Rational Inference in Formal Concept Analysis.


    .- Incomplete Formal Contexts and their Intrinsic Dimension.


    .- The E-base of finite semidistributive lattices.


    .- A Data Model for Relational Concept Algebras.


    .- Rises for Measuring Local Distributivity in Lattices.


    .- A Stone duality for pure and trivial double Boolean algebras.


    .- Concept multilattices with truth-stressing hedges.