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    <title>Relational and Algebraic Methods in Computer Science</title>
    <subTitle>21st International Conference, RAMiCS 2024, Prague, Czech Republic, August 19–22, 2024, Proceedings</subTitle>
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    <namePart>Fahrenberg, Uli.</namePart>
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    <namePart>Fussner, Wesley.</namePart>
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    <namePart>Glück, Roland.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
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    <extent>X, 261 p. 28 illus., 11 illus. in color. online resource.</extent>
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  <abstract>This book constitutes the refereed proceedings of the 21st International Conference, RAMiCS 2024, held in Prague, Czech Republic, during August 19–22, 2024. The 15 full papers presented in this book were carefully reviewed and selected from 21 submissions. They focus on mathematical foundations to applications as conceptual and methodological tools in computer science and beyond.</abstract>
  <tableOfContents>Tabular and Pretabular Varieties of MTL-algebras -- Cyclic Group Spectra for Some Small Relation Algebras.-Presenting Interval Pomsets with Interfaces -- Irrationality of Process Replication for Higher-Dimensional Automata -- Monotone Ω-Sup-Fuzzy Relations: Converse and Complementation -- On the Structure of Balanced Residuated Partially-ordered Monoids -- Complete Congruences of Completely Distributive Lattices -- A Matrix-oriented View of Bisimulations Quotients over Dioid-labeled Transition Systems -- Restructuring a Concurrent Refinement Algebra -- Frames and Spaces for Distributive Quasi Relation Algebras and Involutive FL-algebras -- Data Migration under a Changing Schema in Ampersand -- Using Matrix Sparsification to Solve Tropical Linear Vector Equations -- Undecidability of the Positive Calculus of Relations with Transitive Closure and Difference: Hypothesis Elimination Using Graph Loops -- L-Fuzzy Weak Preference, Preference, and Choice Relations -- Lifting Star-autonomy.</tableOfContents>
  <note type="statement of responsibility">edited by Uli Fahrenberg, Wesley Fussner, Roland Glück.</note>
  <subject authority="lcsh">
    <topic>Logic programming</topic>
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  <subject authority="lcsh">
    <topic>Database management</topic>
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  <subject authority="lcsh">
    <topic>Expert systems (Computer science)</topic>
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  <subject authority="lcsh">
    <topic>Computer science</topic>
    <topic>Mathematics</topic>
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  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
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  <subject authority="lcsh">
    <topic>Data mining</topic>
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  <subject>
    <topic>Logic in AI</topic>
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  <subject>
    <topic>Database Management System</topic>
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  <subject>
    <topic>Knowledge Based Systems</topic>
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  <subject>
    <topic>Mathematics of Computing</topic>
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  <subject>
    <topic>Artificial Intelligence</topic>
  </subject>
  <subject>
    <topic>Data Mining and Knowledge Discovery</topic>
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      <title>Lecture Notes in Computer Science, 14787</title>
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  <identifier type="isbn">9783031682797</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-3-031-68279-7</identifier>
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