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  • Symbolic and quantitative approaches to reasoning with uncertainty = 17th European Conference, ECSQARU 2023, Arras, France, September 19-22, 2023 : proceedings /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Symbolic and quantitative approaches to reasoning with uncertainty/ edited by Zied Bouraoui, Srdjan Vesic.
    Reminder of title: 17th European Conference, ECSQARU 2023, Arras, France, September 19-22, 2023 : proceedings /
    other author: Bouraoui, Zied.
    corporate name: European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
    Published: Cham :Springer Nature Switzerland : : 2024.,
    Description: xx, 476 p. :ill. (some col.), digital ;24 cm.
    [NT 15003449]: 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.
    Contained By: Springer Nature eBook
    Subject: Uncertainty (Information theory) - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-45608-4
    ISBN: 9783031456084
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