| ISBN： | 9781107067356 (hbk) |
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| ISBN： | 1107067359 |
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| ISBN： | 9781107637689 |
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| ISBN： | 1107637686 |
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| 编目源： | SJT SJT |
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| 语种代码： | eng |
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| 个人名称： | Lane, Julia I.. |
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| 题名： | Privacy, big data, and the public good : frameworks for engagement / edited by Julia Lane, American Institutes for Research, Washington DC, Victoria Stodden, Columbia University, Stefan Bender, Institute for Employment Research of the German Federal Employment Agency, Helen Nissenbaum, New York University. |
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| 出版发行项： | New York, NY : Cambridge University Press, c2014 |
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| 载体形态： | xix, 322 p : illustrations ; 24 cm |
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| 书目附注： | Includes bibliographical references and index. |
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| 格式化内容附注： | Monitoring, datafication, and consent : legal approaches to privacy in the big data context / Katherine J. Strangburg -- Big data's end run around anonymity and consent / Solon Barocas and Helen Nissenbaum -- The economics and behavioral economics of privacy / Alessandro Acquisti -- Changing the rules : general principles for data use and analysis / Paul Ohm -- Enabling reproductibility in big data research : balancing confidentiality and scientific transparency / Victoria Stodden -- The value of big data for urban science / Steven E. Koonin and Michael J. Holland -- Data for the public good : challenges and barriers in the context of cities / Robert M. Goerge -- A European perspective on research and big data analysis / Peter Elias -- The new deal on data : a framework for institutional controls / Daniel Greenwood, Arkadiusz Stopczynski, Brian Sweatt, Thomas Hardjono, and Alex Pentland -- Engineered controls for dealing with big data / Carl Landwehr -- Portable approaches to informed consent and open data / John Wilbanks -- Extracting information from big data : issues of measurement, inference and linkage / Frauke Kreuter and Roger D. Peng -- Using statistics to protect privacy / Alan F. Karr and Jerome P. Reiter -- Differential privacy : a cryptographic approach to private data analysis / Cynthia Dwork. |
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