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072 7 _aUB
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072 7 _aCOM005000
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245 1 0 _aBig Data Analytics in Astronomy, Science, and Engineering
_h[electronic resource] :
_b11th International Conference on Big Data Analytics, BDA 2023, Aizu, Japan, December 5–7, 2023, Proceedings /
_cedited by Shelly Sachdeva, Yutaka Watanobe.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXIII, 318 p. 119 illus., 103 illus. in color.
_bonline resource.
336 _atext
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337 _acomputer
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338 _aonline resource
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347 _atext file
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490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v14516
520 _aThis 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. .
650 0 _aApplication software.
650 0 _aDatabase management.
_960571
650 0 _aComputer networks .
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650 1 4 _aComputer and Information Systems Applications.
650 2 4 _aDatabase Management.
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650 2 4 _aComputer Communication Networks.
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700 1 _aSachdeva, Shelly.
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700 1 _aWatanobe, Yutaka.
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776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
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856 4 0 _uhttps://doi.org/10.1007/978-3-031-58502-9
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