Titlebook: Discrimination and Privacy in the Information Society; Data Mining and Prof Bart Custers,Toon Calders,Tal Zarsky Book 2013 Springer-Verlag

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ATP861

Studies in Applied Philosophy, Epistemology and Rational Ethicshttp://image.papertrans.cn/e/image/281223.jpg

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B. A. Harmon,W. D. Goran,R. S. Harmonand privacy issues of data mining and profiling and solutions (both technological and non-technological) for these issues. A large part of this book is based on research results of a project on how and to what extent legal and ethical rules can be integrated in data mining algorithms to prevent disc

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https://doi.org/10.1007/978-94-007-7161-1he ability to interpret and analyze the data, and to base future policies and decisions on the outcome of the analysis determines the value of data. The amounts of data collected nowadays not only offer unprecedented opportunities to improve decision procedures for companies and governments, but als

享樂主義者

HACK

HACK

Informal Housing and Marginal Settlementson records.We discuss the challenging problems in discrimination discovery, and present, in a unified form, a framework based on classification rules extraction and filtering on the basis of legally-grounded interestingness measures. The framework is implemented in the publicly available DCUBE tool.

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懶鬼才會(huì)衰弱

Global Housing Policies and Governancelude discrimination, de-individualisation and stereotyping. To mitigate these risks, the right to privacy is traditionally invoked. However, given the rapid technological developments in the area of profiling, it is questionable whether the right to informational privacy and data protection law prov

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https://doi.org/10.1007/978-4-431-78147-9ssifiers) premised on historical data. If the historical data was discriminating towards socially and legally protected groups, a model learnt over this data will make discriminatory decisions in the future. As a solution, most of the discrimination free modeling techniques force the treatment of th