TitlePrivacy-preserving Collaborative Data Mining
Publication TypeConference Proceedings
Year of Publication2003
Conference NameICDM Foundation and New Directions of Data Mining workshop

In this paper, we study how to conduct association rule mining, one of the core data mining techniques, on private data in the following scenario: Multiple parties, each having a private data set, want to jointly conduct association rule mining without disclosing their private data to other parties. Because of the interactive nature among parties, developing a secure framework to achieve such a computation is both challenging and desirable. We present a secure framework for multiple parties to conduct privacy-preserving association rule mining.