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Knowledge Science, Engineering and Management: 12th International Conference, KSEM 2019, Athens, Greece, August 2830, 2019, Proceedings, Part I 2019 ed. [Mīkstie vāki]

  • Formāts: Paperback / softback, 859 pages, height x width: 235x155 mm, weight: 1329 g, 248 Illustrations, color; 64 Illustrations, black and white; XXI, 859 p. 312 illus., 248 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Artificial Intelligence 11775
  • Izdošanas datums: 21-Aug-2019
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030295508
  • ISBN-13: 9783030295509
  • Mīkstie vāki
  • Cena: 91,53 €*
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  • Formāts: Paperback / softback, 859 pages, height x width: 235x155 mm, weight: 1329 g, 248 Illustrations, color; 64 Illustrations, black and white; XXI, 859 p. 312 illus., 248 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Artificial Intelligence 11775
  • Izdošanas datums: 21-Aug-2019
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030295508
  • ISBN-13: 9783030295509

This two-volume set of LNAI 11775 and LNAI 11776 constitutes the refereed proceedings of the 12th International Conference on Knowledge Science, Engineering and Management, KSEM 2019, held in Athens, Greece, in August 2019.
The 77 revised full papers and 23 short papers presented together with 10 poster papers were carefully reviewed and selected from 240 submissions. The papers of the first volume are organized in the following topical sections: Formal Reasoning and Ontologies; Recommendation Algorithms and Systems; Social Knowledge Analysis and Management ; Data Processing and Data Mining; Image and Video Data Analysis; Deep Learning; Knowledge Graph and Knowledge Management; Machine Learning; and Knowledge Engineering Applications.
The papers of the second volume are organized in the following topical sections: Probabilistic Models and Applications; Text Mining and Document Analysis; Knowledge Theories and Models; and Network Knowledge Representation and Learning. 

Formal Reasoning and Ontologies.- Recommendation Algorithms and
Systems.- Social Knowledge Analysis and Management.- Data Processing and Data
Mining.- Image and Video Data Analysis.- Deep Learning.- Knowledge Graph and
Knowledge Management.- Machine Learning.- Knowledge Engineering Applications.