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• W2808185587 abstract "Despite its attractiveness, Big Data oftentimes is hard, slow and expensive to handle due to its size. Moreover, as the amount of collected data grows, individual privacy raises more and more concerns: “what do they know about me?” Different algorithms were suggested to enable privacy-preserving data release with the current de-facto standard differential privacy. However, the processing time of keeping the data private is inhibiting and currently not practical for every day use. Combined with the continuously growing data collection, the solution is not seen on a horizon." @default.
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• W2808185587 date "2018-01-01" @default.
• W2808185587 modified "2023-10-14" @default.
• W2808185587 title "Privacy via Maintaining Small Similitude Data for Big Data Statistical Representation" @default.
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• W2808185587 doi "https://doi.org/10.1007/978-3-319-94147-9_9" @default.
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