Privacy preserving association rule mining using attribute-identity mapping
Association rule mining uncovers hidden yet important patterns in data. Discovery of the patterns helps data owners to make right decision to enhance efficiency, increase profit and reduce loss. However, there is privacy concern especially when the data owner is not the miner or when many parties ar...
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Main Author: | |
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Format: | Thesis |
Language: | English |
Published: |
2017
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Online Access: | http://eprints.utm.my/id/eprint/85859/1/IbraheemJafarMFC2017.pdf |
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