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Big Data Analytics in Astronomy, Science, and Engineering [electronic resource] : 11th International Conference on Big Data Analytics, BDA 2023, Aizu, Japan, December 5–7, 2023, Proceedings / edited by Shelly Sachdeva, Yutaka Watanobe.

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TextSeries: Lecture Notes in Computer Science ; 14516Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XIII, 318 p. 119 illus., 103 illus. in color. online resourceContent type:

text

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computer

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online resource

ISBN:

9783031585029

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleLOC classification:

QA76.76.A65

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In: Springer Nature eBookSummary: This book constitutes the proceedings of the 11th International Conference on Big Data Analytics in Astronomy, Science, and Engineering, BDA 2023, which took place in Aizu, Japan during December 5–7, 2023. The 19 full papers included in this book were carefully reviewed and selected from 55 submissions. They were organized in topical sections as follows: Data management and visualization; data science: architectures and systems; data science and applications; and cyber systems and information security. .

Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)

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This book constitutes the proceedings of the 11th International Conference on Big Data Analytics in Astronomy, Science, and Engineering, BDA 2023, which took place in Aizu, Japan during December 5–7, 2023. The 19 full papers included in this book were carefully reviewed and selected from 55 submissions. They were organized in topical sections as follows: Data management and visualization; data science: architectures and systems; data science and applications; and cyber systems and information security. .

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