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Recent Trends in Analysis of Images, Social Networks and Texts: 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 1516, 2020 Revised Supplementary Proceedings 1st ed. 2021 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 308 pages, height x width: 235x155 mm, weight: 504 g, 64 Illustrations, color; 38 Illustrations, black and white; XIX, 308 p. 102 illus., 64 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1357
  • Izdošanas datums: 25-Mar-2021
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030712133
  • ISBN-13: 9783030712136
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Recent Trends in Analysis of Images, Social Networks and Texts: 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 1516, 2020 Revised Supplementary Proceedings 1st ed. 2021Palielināt
  • Formāts: Paperback / softback, 308 pages, height x width: 235x155 mm, weight: 504 g, 64 Illustrations, color; 38 Illustrations, black and white; XIX, 308 p. 102 illus., 64 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1357
  • Izdošanas datums: 25-Mar-2021
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030712133
  • ISBN-13: 9783030712136
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783030712136.html
This book constitutes revised selected papers of the 9th International Conference on Analysis of Images, Social Networks and Texts, AIST 2020, held in Moscow, Russia, in october 2020. Due to the COVID-19 pandemic the conference was held online. 

The 14 full papers, 9 short papers and 4 poster papers were carefully reviewed and selected from 108 qualified submissions. The papers are organized in topical sections on ?natural language processing; computer vision; social network analysis; data analysis and machine learning; theoretical machine learning and optimization; process mining; posters.




Natural Language Processing.- Computer Vision.- Social Network
Analysis.- Data Analysis and Machine Learning.- Theoretical Machine Learning
and Optimization.- Process Mining.- Posters.