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Graph-Based Representation and Reasoning: 26th International Conference on Conceptual Structures, ICCS 2021, Virtual Event, September 2022, 2021, Proceedings 1st ed. 2021 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 217 pages, height x width: 235x155 mm, weight: 373 g, 47 Illustrations, color; 24 Illustrations, black and white; XX, 217 p. 71 illus., 47 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 12879
  • Izdošanas datums: 18-Sep-2021
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030869814
  • ISBN-13: 9783030869816
  • Mīkstie vāki
  • Cena: 69,22 €*
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  • Formāts: Paperback / softback, 217 pages, height x width: 235x155 mm, weight: 373 g, 47 Illustrations, color; 24 Illustrations, black and white; XX, 217 p. 71 illus., 47 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 12879
  • Izdošanas datums: 18-Sep-2021
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030869814
  • ISBN-13: 9783030869816
This book constitutes the proceedings of the 26th International Conference on Conceptual Structures, ICCS 2021, held virtually in September 2021.

The 12 full papers and 4 short papers presented were carefully reviewed and selected from 25 submissions. The papers focus on the representation of and reasoning with conceptual structures in a variety of contexts. The papers are organized in the following topical sections: applications of conceptual structures; theory on conceptual structures, and mining conceptual structures.

Applications of Conceptual Structures.- On the use of FCA models in static analysis tools to detect common errors in programming.- Nested conceptual graphs for information fusion traceability.- Generating Layered Enterprise Architectures with Conceptual Structures.- An Approach to Identifying the Most Predictive and Discriminant Features in Supervised Classification Problems.- Combining Implications and Conceptual Analysis to Learn from a Pesticidal Plant Knowledge Base.- Ranking Schemas by Focus: A Cognitively-Inspired Approach.- Theory on Conceptual Structures.- Improving the Performance of Lindig-style Algorithms with Empty Intersections.- Quantifying the Conceptual Error in Dimensionality Reduction.- Conceptual Relevance Index for Identifying Actionable Formal Concepts.- Attribute Selection using Contranominal Scales.- Packing Problems, Dimensions and the Tensor Product of Complete Lattices.- Mining Conceptual Structures.- Random generation of a locally consistent spatio-temporal graph.- Mining Contextual Rules to Predict Asbestos in Buildings.- Temporal sequence mining using FCA and GALACTIC.- Restricted Bi-pattern Mining.- A Semantic-Based Approach for Assessing the Impact of Cyber-Physical Attacks: a Healthcare Infrastructure Use Case.