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Big data analytics in astronomy, science, and engineering = 10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, December 5-7, 2022 : proceedings /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Big data analytics in astronomy, science, and engineering/ edited by Shelly Sachdeva, Yutaka Watanobe, Subhash Bhalla.
其他題名:
10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, December 5-7, 2022 : proceedings /
其他題名:
BDA 2022
其他作者:
Sachdeva, Shelly.
團體作者:
BDA (Conference)
出版者:
Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:
xii, 246 p. :ill. (some col.), digital ;24 cm.
內容註:
Data Science: Systems -- Architectures -- Big Data Analytics in Healthcare Support Systems -- Information Interchange of Web Data Resources -- Business Analytics.
Contained By:
Springer Nature eBook
標題:
Big data - Congresses. -
電子資源:
https://doi.org/10.1007/978-3-031-28350-5
ISBN:
9783031283505
Big data analytics in astronomy, science, and engineering = 10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, December 5-7, 2022 : proceedings /
Big data analytics in astronomy, science, and engineering
10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, December 5-7, 2022 : proceedings /[electronic resource] :BDA 2022edited by Shelly Sachdeva, Yutaka Watanobe, Subhash Bhalla. - Cham :Springer Nature Switzerland :2023. - xii, 246 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,138301611-3349 ;. - Lecture notes in computer science ;13830..
Data Science: Systems -- Architectures -- Big Data Analytics in Healthcare Support Systems -- Information Interchange of Web Data Resources -- Business Analytics.
This book constitutes the proceedings of the 10th International Conference on Big Data Analytics, BDA 2022, which took place in a hybrid mode during December 2022 in Aizu, Japan. The 14 full papers included in this volume were carefully reviewed and selected from 70 submissions. They were organized in topical sections as follows: big data analytics, networking, social media, search, information extraction, image processing and analysis, spatial, text, mobile and graph data analysis, machine learning, and healthcare.
ISBN: 9783031283505
Standard No.: 10.1007/978-3-031-28350-5doiSubjects--Topical Terms:
3166510
Big data
--Congresses.
LC Class. No.: QA76.9.B45
Dewey Class. No.: 005.7
Big data analytics in astronomy, science, and engineering = 10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, December 5-7, 2022 : proceedings /
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