書目名稱 | Data Privacy: Foundations, New Developments and the Big Data Challenge | 編輯 | Vicen? Torra | 視頻video | http://file.papertrans.cn/264/263009/263009.mp4 | 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 | 叢書名稱 | Studies in Big Data | 圖書封面 |  | 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 | 關(guān)鍵詞 | Big Data; Data Mining; Data Privacy; Machine Learning; Computational Intelligence | 版次 | 1 | doi | https://doi.org/10.1007/978-3-319-57358-8 | isbn_softcover | 978-3-319-86141-8 | isbn_ebook | 978-3-319-57358-8Series ISSN 2197-6503 Series E-ISSN 2197-6511 | issn_series | 2197-6503 | copyright | Springer International Publishing AG 2017 |
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