Secure Access to High-Dimensional Data Through Slicing Using Grouping Algorithm

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Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
The individual data may be altered, for a variety of purposes. To overcome these concerns, a number of techniques have recently been proposed. Preserving utility of data and actual data from generalization and bucketization in workload involving the sensitive attributes the new technique introduced 'Slicing'. Slicing can handle high dimensional data by partitioning the data sets horizontally and vertically. In slicing data can be organized arbitrarily, checking privacy threats is a concern. Due to the large size of the data sources having several hundred millions to several billions records, and continuously growing, efficient techniques and algorithms are needed.
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