Formal concept analysis = 15th Inter...
International Conference on Formal Concept Analysis (2019 :)

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  • Formal concept analysis = 15th International Conference, ICFCA 2019, Frankfurt, Germany, June 25-28, 2019 : proceedings /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Formal concept analysis/ edited by Diana Cristea, Florence Le Ber, Baris Sertkaya.
    其他題名: 15th International Conference, ICFCA 2019, Frankfurt, Germany, June 25-28, 2019 : proceedings /
    其他題名: ICFCA 2019
    其他作者: Cristea, Diana.
    團體作者: International Conference on Formal Concept Analysis
    出版者: Cham :Springer International Publishing : : 2019.,
    面頁冊數: xiii, 349 p. :ill., digital ;24 cm.
    內容註: Invited papers -- Elements about Hybrid, Exploratory, and Explainable Knowledge Discovery -- Too Much Information: Can AI Cope With Modern Knowledge Graphs -- Learning Implications from Data and from Queries -- Concepts in Application Context -- Theory -- Direct and Binary Direct Bases for One-set Updates of a Closure System -- Dualization in lattices given by implicational bases -- Properties of Finite Lattices -- Joining Implications in Formal Contexts and Inductive Learning in a Horn Description Logic -- Methods and Applications -- On-demand Relational Concept Analysis -- Mining Formal Concepts using Implications between Items -- Effects of Input Data Formalisation in Relational Concept Analysis for a Data Model with a Ternary Relation -- Parallelization of the GreConD Algorithm for Boolean Matrix Factorization -- Simultaneous, polynomial-time layout of Context Bigraph and Lattice Digraph -- Using Redescriptions and Formal Concept Analysis for Mining Definitions in Linked Data -- Enhanced FCA -- A Formal Context for Closures of Acyclic Hypergraphs -- Concept lattices as a search space for graph compression -- A relational extension of Galois Connections -- Short Papers -- Sampling Representation Contexts with Attribute Exploration -- Discovering Implicational Knowledge in Wikidata -- A characterization theorem for continuous lattices by closure spaces -- On Coupling FCA and MDL in Pattern Mining -- A Study of Boolean Matrix Factorization Under Supervised Settings.
    Contained By: Springer Nature eBook
    標題: Computer science - Mathematics -
    電子資源: https://doi.org/10.1007/978-3-030-21462-3
    ISBN: 9783030214623
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W9403881 電子資源 11.線上閱覽_V 電子書 EB QA76.9.M35 I58 2019 一般使用(Normal) 在架 0
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