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Flexible and Extensible Generation and Corruption of Personal Data

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Authors

Christen, Peter
Vatsalan, Dinusha

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Publisher

Association for Computing Machinery Inc (ACM)

Abstract

With much of today's data being generated by people or referring to people, researchers increasingly require data that contain personal identifying information to evaluate their new algorithms. In areas such as record matching and de-duplication, fraud de

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Source

Proceedings of the 22nd ACM international conference on Conference on information & knowledge management

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License Rights

Restricted until

2037-12-31
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