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 ...
The search for unknown frequent pattern is one of the core activities in many time series data mining processes. In this paper we present an extension of the pattern discovery pro...
Data mining services require accurate input data for their results to be meaningful, but privacy concerns may influence users to provide spurious information. We investigate here,...
Published data is prone to privacy attacks. Sanitization methods aim to prevent these attacks while maintaining usefulness of the data for legitimate users. Quantifying the trade-...
Recent years have witnessed ever-increasing concerns about
individual privacy in numerous data dissemination applications
that involve private personal information, e.g., medical...