Big-Data-Analytics in Astronomy, Science, and Engineering
9th International Conference on Big Data Analytics, BDA 2021, Virtual Event, December 7¿9, 2021, Proceedings
Herausgegeben:Sachdeva, Shelly; Watanobe, Yutaka; Bhalla, Subhash
Big-Data-Analytics in Astronomy, Science, and Engineering
9th International Conference on Big Data Analytics, BDA 2021, Virtual Event, December 7¿9, 2021, Proceedings
Herausgegeben:Sachdeva, Shelly; Watanobe, Yutaka; Bhalla, Subhash
- Broschiertes Buch
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
This book constitutes the proceedings of the 9th International Conference on Big Data Analytics, BDA 2021, which took place virtually during December 7-9, 2021.
The 15 full papers and 1 short paper included in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections as follows: Data science: systems; data science: architectures; big data analytics in healthcare support systems, information interchange of web data resources; and business analytics.
- Advanced Hybrid Information Processing74,99 €
- Bangabandhu and Digital Bangladesh37,99 €
- Artificial Intelligence and Sustainable Computing for Smart City37,99 €
- Big Data Analytics37,99 €
- Advanced Hybrid Information Processing74,99 €
- Engineering Applications of Neural Networks74,99 €
- Data Science and Computational Intelligence74,99 €
-
-
-
The 15 full papers and 1 short paper included in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections as follows: Data science: systems; data science: architectures; big data analytics in healthcare support systems, information interchange of web data resources; and business analytics.
- Produktdetails
- Lecture Notes in Computer Science 13167
- Verlag: Springer / Springer International Publishing / Springer, Berlin
- Artikelnr. des Verlages: 978-3-030-96599-0
- 1st ed. 2022
- Seitenzahl: 296
- Erscheinungstermin: 18. Februar 2022
- Englisch
- Abmessung: 235mm x 155mm x 17mm
- Gewicht: 452g
- ISBN-13: 9783030965990
- ISBN-10: 3030965996
- Artikelnr.: 63303780
- Lecture Notes in Computer Science 13167
- Verlag: Springer / Springer International Publishing / Springer, Berlin
- Artikelnr. des Verlages: 978-3-030-96599-0
- 1st ed. 2022
- Seitenzahl: 296
- Erscheinungstermin: 18. Februar 2022
- Englisch
- Abmessung: 235mm x 155mm x 17mm
- Gewicht: 452g
- ISBN-13: 9783030965990
- ISBN-10: 3030965996
- Artikelnr.: 63303780