UID:
almahu_9949709230002882
Format:
XX, 476 p. 89 illus., 62 illus. in color.
,
online resource.
Edition:
1st ed. 2024.
ISBN:
9783031456084
Series Statement:
Lecture Notes in Artificial Intelligence, 14294
Content:
This book constitutes the refereed proceedings of the 17th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2023, held in Arras, France, in September 2023. The 35 full papers presented in this volume were carefully reviewed and selected from 46 submissions. The papers are organized in topical sections about Complexity and Database Theory; Formal Concept Analysis: Theoretical Advances; Formal Concept Analysis: Applications; Modelling and Explanation; Semantic Web and Graphs; Posters.
Note:
Complexity and Database Theory -- Functional Dependencies with Predicates: What Makes the g3-error Easy to Compute? -- Formal Concept Analysis: Theoretical Advances -- Squared symmetric formal contexts and their connections with correlation matrices -- Aggregation Functions and Extent Structure Preservation in Formal Concept Analysis -- On pseudointents in Fuzzy Formal Concept Analysis -- Maximal Ordinal Two-Factorizations -- A Note on the Number of (Maximal) Antichains in the Lattice of set Partitions -- Formal Concept Analysis: Applications -- Formal Concept Analysis for Trace Clustering in Process Mining -- Summarization of massive RDF graphs using identifier classification -- Towards a Flexible and Scalable Data Stream Algorithm in FCA -- Modelling and Explanation Postmodern Human-Machine Dialogues: a Pedagogical Inquiry Experiment -- Conceptual Modelling with Euler+ Diagrams -- Automatic Textual Explanations of Concept Lattices -- Semantic Web and Graphs -- Ontology Population from French Classified Ads -- Graph Extraction for Assisting Crash Simulation Data Analysis -- Factorization of formal contexts from modal operators -- Towards confirmation measures to mixed attribute implications -- Concept lattices as a reduction tool for fuzzy relation equations -- Analysis of Slovak Court Decisions by Formal Concept Analysis and Machine Learning Methods.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783031456077
Additional Edition:
Printed edition: ISBN 9783031456091
Language:
English
DOI:
10.1007/978-3-031-45608-4
URL:
https://doi.org/10.1007/978-3-031-45608-4
