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- W2007520928 abstract "In recent years, data dissemination privacy protection issues received extensive attention. A variety of privacy preserving anonymity models and technology, such as generalization, anatomy and slicing have been proposed. We present a new technique - overlapping slicing, it handles data attributes mainly based on the idea of fuzzy clustering. And we present a linear algorithm of processing data with group to generate multiple data tables, and make them satisfy l-diversity. We conduct several experiments to confirm that overlapping slicing technology ensures data security and improves the effectiveness of anonymous data at the same time. What's more, overlapping slicing processes high-dimensional data effectively." @default.
- W2007520928 created "2016-06-24" @default.
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- W2007520928 date "2014-05-01" @default.
- W2007520928 modified "2023-09-24" @default.
- W2007520928 title "A data anonymous method based on overlapping slicing" @default.
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- W2007520928 doi "https://doi.org/10.1109/cscwd.2014.6846828" @default.
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