【数据挖掘与管理】 Data Privacy : Principles and Practice (2016)

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Data Privacy: Principles and Practice

Nataraj Venkataramanan, Ashwin Shriram



The book covers data privacy in depth with respect to data mining, test data management, synthetic data generation etc. It formalizes principles of data privacy that are essential for good anonymization design based on the data format and discipline. The principles outline best practices and reflect on the conflicting relationship between privacy and utility. From a practice standpoint, it provides practitioners and researchers with a definitive guide to approach anonymization of various data formats, including multidimensional, longitudinal, time-series, transaction, and graph data. In addition to helping CIOs protect confidential data, it also offers a guideline as to how this can be implemented for a wide range of data at the enterprise level.

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Data Privacy_Principles and Practice.pdf (4.61 MB, 需要: 15 个论坛币)

2016-12-29 15:38:42 上传

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• Data Privacy_Principles and Practice.pdf

2016-12-29 15:38:37 上传

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关键词：Principles principle Practice Privacy practic discipline generation management principles standpoint

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good material

thank you

good book

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