| I. Dinur and K. Nissim. Revealing information while preserving privacy. In Proc. of 22nd PODS, pp. 202-210, 2003. |
....do not consider the unique structure of MDR queries. This renders them ineffective and inefficient for MDR queries. We show some examples in Section 4. Recently a variation of the inference control problem, namely, privacy preserving data mining has drawn considerable attention as seen in [3, 2, 21, 33, 20, 17]. They all attempt to perturb sensitive values while preserving the classifications or association rules that can be learned from the data set. In doing so, they assume that user s objective of data analysis is predictable. However, in OLAP systems this assumption may not hold, because we do not ....
I. Dinur and K. Nissim. Revealing information while preserving privacy. In Proceedings 2003.
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I. Dinur and K. Nissim. Revealing information while preserving privacy. In Proc. of 22nd PODS, pp. 202-210, 2003.
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I. Dinur and K. Nissim. Revealing Information While Preserving Privacy. In ACM SIGACT-SIGMODSIGART Symposium on Principles of Database Systems, San Diego, CA, June 2003.
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I. Dinur and K. Nissim. Revealing Information while Preserving Privacy. In ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, San Diego, CA, June 2003.
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I. Dinur and K. Nissim. Revealing information while preserving privacy. Proc. of 22nd PODS, pp. 202-210, 2003. 19
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I. Dinur and K. Nissim. Revealing information while preserving privacy. In Proc. of the 22nd ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, pages 202--210. ACM Press, 2003.
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I. Dinur and K. Nissim. Revealing information while preserving privacy. In: Proc. 22nd ACM PODS, pages 202--210, ACM Press, 2003.
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I. Dinur and K. Nissim. Revealing information while preserving privacy. In: Proc. 22nd ACM PODS, pages 202--210, ACM Press, 2003.
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I. Dinur and K. Nissim. Revealing information while preserving privacy. In proceedings of PODS 2003.
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