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Titlebook: Data Privacy: Foundations, New Developments and the Big Data Challenge; Vicenç Torra Book 2017 Springer International Publishing AG 2017 B

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发表于 2025-3-21 16:49:23 | 显示全部楼层 |阅读模式
书目名称Data Privacy: Foundations, New Developments and the Big Data Challenge
编辑Vicenç Torra
视频video
概述Includes recent research on data privacy.Provides background information as well as new developments.Discusses the challenge that big data presents for data privacy.Includes supplementary material: .I
丛书名称Studies in Big Data
图书封面Titlebook: Data Privacy: Foundations, New Developments and the Big Data Challenge;  Vicenç Torra Book 2017 Springer International Publishing AG 2017 B
描述This book offers a broad, cohesive overview of the field of data privacy. It discusses, from a technological perspective, the problems and solutions of the three main communities working on data privacy: statistical disclosure control (those with a statistical background), privacy-preserving data mining (those working with data bases and data mining), and privacy-enhancing technologies (those involved in communications and security) communities..Presenting different approaches, the book describes alternative privacy models and disclosure risk measures as well as data protection procedures for respondent, holder and user privacy. It also discusses specific data privacy problems and solutions for readers who need to deal with big data..
出版日期Book 2017
关键词Big Data; Data Mining; Data Privacy; Machine Learning; Computational Intelligence
版次1
doihttps://doi.org/10.1007/978-3-319-57358-8
isbn_softcover978-3-319-86141-8
isbn_ebook978-3-319-57358-8Series ISSN 2197-6503 Series E-ISSN 2197-6511
issn_series 2197-6503
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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发表于 2025-3-22 00:12:50 | 显示全部楼层
发表于 2025-3-22 03:49:25 | 显示全部楼层
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https://doi.org/10.1007/978-3-319-57358-8Big Data; Data Mining; Data Privacy; Machine Learning; Computational Intelligence
发表于 2025-3-22 12:14:33 | 显示全部楼层
978-3-319-86141-8Springer International Publishing AG 2017
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Studies in Big Datahttp://image.papertrans.cn/d/image/263009.jpg
发表于 2025-3-22 21:18:49 | 显示全部楼层
Surface-Potential-Based MOS Varactor ModelLarge amounts of data are collected and processed nowadays. Data privacy is to ensure that disclosure of sensitive information does not take place. In this chapter we give an introduction to the field. We describe the motivations for data privacy, underline the links between data privacy and the society, and review terminology and concepts.
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