Abstract The dissemination of Electronic Health Records (EHRs) can be highly beneficial for
a range of medical studies, spanning from clinical trials to epidemic control studies, but it …

The present study explores one of the biggest causes of the lack of organizational
knowledge creation: knowledge hiding (KH). KH can be provoked by the deviant and …

Association rule hiding is the process of transforming a transaction database into a sanitized
version to protect sensitive knowledge and patterns. The challenge is to minimize the side …

Recently, more and more social network data have been published in one way or another.
Preserving privacy in publishing social network data becomes an important concern. With …

Privacy and security risks arising from the application of different data mining techniques to
large institutional data repositories have been solely investigated by a new research …

Many applications of social networks require relationship anonymity due to the sensitive,
stigmatizing, or confidential nature of relationship. Recent work showed that the simple …

As one of the important approaches in privacy preserving data mining, privacy preserving
utility mining has been studied to find more meaningful results while database privacy is …

Abstract Association Rule Hiding (ARH) is the process of protecting sensitive knowledge
using data transformation. Although there are some evolutionary-based ARH algorithms …

Privacy preserving data mining is a new research field that aims to protect the private
information and avoid the leakage of this information during the data mining process. One of …

Privacy preserving data mining (PPDM) is a popular topic in the research community. How to
strike a balance between privacy protection and knowledge discovery in the sharing process …