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There has been concern over the apparent conflict between privacy and data mining. Attribute reduction is one of the most important contributions of rough set theory to data mining. In this paper, we address the issue of privacy preserving attribute reduction. Specifically, we consider a scenario in which two parties owning private data, wish to run a attribute reduction algorithm on the union of...
Spatial outlier detection can be applied in the finding of terrorist activities and the forecast of abnormal climate activity etc. For protecting privacy information and mining spatial outliers, we presented privacy preserving spatial outlier mining algorithm. By the definition and application of secure multiparty computation protocols based on semi-honest model, we realized the preserving of the...
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