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Big Data Analytics Theory, Techniques, Platforms, and Applications /

This book introduces readers to big data analytics. It covers the background to and the concepts of big data, big data analytics, and cloud computing, along with the process of setting up, configuring, and getting familiar with the big data analytics working environments in the first two chapters. T...

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書誌詳細
主要な著者:	Demirbaga, Ümit (著者), Aujla, Gagangeet Singh (著者), Jindal, Anish (著者), Kalyon, Oğuzhan (著者)
団体著者:	SpringerLink (Online service)
フォーマット:	電子媒体 eBook
言語:	英語
出版事項:	Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
版:	1st ed. 2024.
主題:	Big data. Quantitative research. Electric power distribution. Medical care. Machine learning. Big Data. Data Analysis and Big Data. Energy Grids and Networks. Health Care. Machine Learning.
オンライン･アクセス:	https://doi.org/10.1007/978-3-031-55639-5
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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