Description
Book Synopsis.- 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.
