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Titlebook: Big Data Challenges; Society, Security, I Anno Bunnik,Anthony Cawley,Andrej Zwitter Book 2016 The Editor(s) (if applicable) and The Author(

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發(fā)表于 2025-3-23 13:26:13 | 只看該作者
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發(fā)表于 2025-3-23 18:47:27 | 只看該作者
vernmental actors driving Big Data’s progress with political.This book brings together an impressive range of academic and intelligence professional perspectives to interrogate the social, ethical and security upheavals in a world increasingly driven by data. Written in a clear and accessible style,
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發(fā)表于 2025-3-24 00:53:38 | 只看該作者
Intermediate and Narrow Passband Photometry,allenges of Big Data. It clarifies the division of the book into Part I, ‘Between Mathematics and Philosophy’, and Part II on ‘Implications for Security’. Each chapter is also briefly introduced to the reader.
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https://doi.org/10.1007/978-94-010-2169-2nable people to share intellectual burdens? Advances in Artificial Intelligence using Big Data could mean people are no longer the sole agents of genuine discovery and may soon share this special attribute with genuinely intelligent and inventive machines.
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發(fā)表于 2025-3-24 23:35:48 | 只看該作者
Astrophysics and Space Science Libraryrity from manipulation, and education for appropriate internet use. The chapter reflects on whether our ethical frameworks still match the Big Data age. It concludes that we might need to redevelop individualistic ethical norms to match a network logic of power and responsibility.
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