Interactive Pattern Exploration: Securely Mining Distributed Databases

Priya Chawla, Raj Bhatnagar, Chia Han

Abstract: Interactive patterns embedded and stored in multiple related databases can provide valuable insights into the domain of data exploration. Yet, the owners of individual databases may want to protect the privacy of their data while still allowing enough collaboration for the patterns to be discovered. In this paper, we show how data can be accessed securely through the use of data mining algorithms. We also investigate some methods that discover unique data patterns interactively, while still preserving data and user privacy, as much as possible.

External IDs:dblp:conf/hci/ChawlaBH16