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Advances in Knowledge Discovery and Management: Volume 9 2022 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 200 pages, height x width: 235x155 mm, weight: 338 g, 36 Illustrations, color; 51 Illustrations, black and white; XVI, 200 p. 87 illus., 36 illus. in color., 1 Paperback / softback
  • Sērija : Studies in Computational Intelligence 1004
  • Izdošanas datums: 16-Mar-2023
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030902897
  • ISBN-13: 9783030902896
Citas grāmatas par šo tēmu:
  • Mīkstie vāki
  • Cena: 145,08 €*
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  • Standarta cena: 170,69 €
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  • Formāts: Paperback / softback, 200 pages, height x width: 235x155 mm, weight: 338 g, 36 Illustrations, color; 51 Illustrations, black and white; XVI, 200 p. 87 illus., 36 illus. in color., 1 Paperback / softback
  • Sērija : Studies in Computational Intelligence 1004
  • Izdošanas datums: 16-Mar-2023
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030902897
  • ISBN-13: 9783030902896
Citas grāmatas par šo tēmu:
This book is a collection of high scientific novel contributions addressing several of these challenges. These articles are extended versions of a selection of the best papers that were initially presented at the French-speaking conferences EGC’2019held in Metz (France, January 21-25, 2019).

These extended versions have been accepted after an additional peer-review process among papers already accepted in long format at the conference. Concerning the conference, the long and short papers selection were also the result of a double blind peer review process among the hundreds of papers initially submitted to each edition of the conference (acceptance rate for long papers is about 25%.
Study and analyse textual data.- Advances in anomaly detection.- Exploration and the representation of complex data including Big data, heterogeneous data, graph data.- Propose a community detection strategy.