Advances in Data Science and Management Proceedings of ICDSM 2019 /

Advances in Data Science and Management Proceedings of ICDSM 2019 /

Opis bibliograficzny
Korporacja: SpringerLink (Online service)
Kolejni autorzy: Borah, Samarjeet (Redaktor), Emilia Balas, Valentina (Redaktor), Polkowski, Zdzislaw (Redaktor)
Streszczenie:XIV, 563 p. 284 illus., 231 illus. in color.
text
Język:angielski
Wydane: Singapore : Springer Nature Singapore : Imprint: Springer, 2020.
Wydanie:1st ed. 2020.
Seria:Lecture Notes on Data Engineering and Communications Technologies, 37
Hasła przedmiotowe:
Computational intelligence.
Artificial intelligence.
Big data.
Data mining.
Computational Intelligence.
Artificial Intelligence.
Big Data.
Data Mining and Knowledge Discovery.
Dostęp online:https://doi.org/10.1007/978-981-15-0978-0
Format: Elektroniczne Książka
Spis treści:
  • Introduction
  • Data and Knowledge Visualization
  • Knowledge Discovery and Management
  • Application of Data in Cloud
  • Deep Learning
  • Natural Language Processing, Geo Location Handling
  • Application of Data Mining Methods
  • Big Data and Applications
  • Applications of Virtualized Data.-Data Intelligence in IoT
  • Industry 4.0 and Digital Manufacturing
  • Data Driven Approximation
  • Traffic Engineering
  • Artificial Intelligence
  • Applications in Transportation
  • Jet Grouting Column Diameter Prediction
  • Case Studies
  • Conclusion.

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