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In privacy-enhancing computation, privacy-preserving data mining refers to building accurate data mining models from data whose individual values are perturbed or hidden, so that individual records are not revealed. This meaning comes from Agrawal (2000) in Proceedings of the 2000 ACM SIGMOD international conference on Management of data.[1]
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