Flexible and Extensible Generation and Corruption of Personal Data
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Christen, Peter
Vatsalan, Dinusha
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Association for Computing Machinery Inc (ACM)
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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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Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Restricted until
2037-12-31
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