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020 _a9783030214623
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024 7 _a10.1007/978-3-030-21462-3
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aFormal Concept Analysis
_h[electronic resource] :
_b15th International Conference, ICFCA 2019, Frankfurt, Germany, June 25-28, 2019, Proceedings /
_cedited by Diana Cristea, Florence Le Ber, Baris Sertkaya.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXIII, 349 p. 560 illus., 33 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v11511
505 0 _aInvited 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.
520 _aThis book constitutes the proceedings of the 15th International Conference on Formal Concept Analysis, ICFCA 2019, held in Frankfurt am Main, Germany, in June 2019. The 15 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 36 submissions. The book also contains four invited contributions in full paper length. The field of Formal Concept Analysis (FCA) originated in the 1980s in Darmstadt as a subfield of mathematical order theory, with prior developments in other research groups. Its original motivation was to consider complete lattices as lattices of concepts, drawing motivation from philosophy and mathematics alike. FCA has since then developed into a wide research area with applications much beyond its original motivation, for example in logic, data mining, learning, and psychology.
650 0 _aArtificial intelligence.
_93407
650 0 _aDatabase management.
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650 0 _aData mining.
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650 0 _aMachine theory.
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650 0 _aInformation technology
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650 0 _aNumerical analysis.
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650 1 4 _aArtificial Intelligence.
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650 2 4 _aDatabase Management.
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650 2 4 _aData Mining and Knowledge Discovery.
_9115713
650 2 4 _aFormal Languages and Automata Theory.
_9115714
650 2 4 _aComputer Application in Administrative Data Processing.
_931588
650 2 4 _aNumerical Analysis.
_94603
700 1 _aCristea, Diana.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
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700 1 _aLe Ber, Florence.
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700 1 _aSertkaya, Baris.
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710 2 _aSpringerLink (Online service)
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776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aLecture Notes in Artificial Intelligence,
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856 4 0 _uhttps://doi.org/10.1007/978-3-030-21462-3
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