Privacy preserving data publishing of categorical data through k ‐anonymity and feature selection
Abstract
In healthcare, there is a vast amount of patients' data, which can lead to important discoveries if combined. Due to legal and ethical issues, such data cannot be shared and hence such information is underused. A new area of research has emerged, called privacy preserving data publishing (PPDP), which aims in sharing data in a way that privacy is preserved while the information lost is kept at a minimum. In this Letter, a new anonymisation...
Paper Details
Title
Privacy preserving data publishing of categorical data through k ‐anonymity and feature selection
Published Date
Mar 1, 2016
Volume
3
Issue
1
Pages
16 - 21
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