Conceptual Knowledge Structures
Springer International Publishing (Verlag)
978-3-031-67867-7 (ISBN)
This book constitutes the proceedings of the First International Joint Conference on Conceptual Knowledge Structures, CONCEPTS 2024, which took place in Cádiz, Spain, during September 9-13, 2024. The conference is an amalgamation of the 18th International Conference on Formal Concept Analysis (ICFCA); the 17th International Conference on Concept Lattices and Their Applications (CLA); and the 28th International Conference on Conceptual Structures (ICCS).
The 18 full and 4 short papers included in this book were carefully reviewed and selected from 38 submissions. They were organized in topical sections as follows: Theory; algorithms, methods, and resources; applications.
Theory.- Sub-directly irreducible and semi-simple double Boolean algebras.- The Birkhoff completion of finite lattices.- Towards a generalized modus ponens based on the phi-index of inclusion.- Efficiency of fuzzy decision algorithms based on the strength of decision rules.- Comparing Relational Concept Analysis and Graph-FCA on their common ground.- Algorithms, Methods, and Resources Shapley value in classification problems with Triadic Formal Concept Analysis.- What is the intrinsic dimension of your binary data? - and how to compute it quickly.- Rearrangement of fuzzy formal contexts for reducing cost of algorithms.- What can FCA-based Boolean matrix factorization do for object-attribute biclustering.- FCAvizIR: Exploring Relational Data Set's Implications using Metrics and Topics.- Realizability of Rectangular Euler Diagrams.- Spanning Concept Trees: Algorithms and Interaction.- A Repository for Formal Contexts.- Applications.- Conceptual Mapping of Controversies.- Conceptual Knowledge Modelling for Human-AI Teaming in Data-Frugal Industrial Environments.- Handling Knowledge over Moving Object Trajectories using Formal Concept Analysis.- Discovering the Structure of Odorants in Caenorhabditis elegans using Formal Concept Analysis.- Exploiting Formal Concept Analysis for Data Modeling in Data Lakes.- Document Classification via Stable Graph Patterns and Conceptual AMR Graphs.- Exploring Old Arabic Remedies with Formal and Relational Concept Analysis.- Enhancing JAAD with Knowledge Graphs for Improved Pedestrian Crossing Predictions.- Symbolic Artificial Intelligence for Schema Therapy using Knowledge Graphs.
Erscheinungsdatum | 03.08.2024 |
---|---|
Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
Zusatzinfo | Approx. 330 p. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Schlagworte | Artificial Intelligence • clustering and classification • Computer Applications • Computer Science • concept lattices • data analytics • databases theory • Data Mining • data structures design and analysis • Discrete Mathematics • formal concept analysis • Information analysis • knowledge graphs • knowledge management • Knowledge representation formalisms and methods • lattice theory • Mathematics of Computing • Modeling |
ISBN-10 | 3-031-67867-2 / 3031678672 |
ISBN-13 | 978-3-031-67867-7 / 9783031678677 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
aus dem Bereich