Recently, privacy preserving data publishing has received a lot of attention in both research and applications. Most of the previous studies, however, focus on static data sets. I...
Bin Zhou 0002, Yi Han, Jian Pei, Bin Jiang, Yufei ...
In recent years, privacy preserving data mining has become very important because of the proliferation of large amounts of data on the internet. Many data sets are inherently high...
— In this paper, we consider burst detection within the context of privacy. In our scenario, multiple parties want to detect a burst in aggregated time series data, but none of t...
In some applications of privacy preserving data publishing, a practical demand is to publish a data set on multiple quasi-identifiers for multiple users simultaneously, which poses...
Processing of top-k queries has been attracting considerable attention. Much of the work assumes distributed data, with each site holding a different set of attributes for the sam...