Privacy-preserving Distributed Mining of Association Rules on Horizontally Partitioned Data (2002)

by Murat Kantarcioglu , Chris Clifton
Citations:166 - 16 self

Documents Related by Co-Citation

250 Privacy Preserving Mining of Association Rules – Alexandre Evfimievski, Ramakrishnan Srikant, Rakesh Agrawal, Johannes Gehrke - 2002
614 Privacy-Preserving Data Mining – Rakesh Agrawal , Ramakrishnan Srikant - 2000
377 Privacy Preserving Data Mining – Yehuda Lindell, Benny Pinkas - 2000
319 On the Design and Quantification of Privacy Preserving Data Mining Algorithms – Dakshi Agrawal, Charu C. Aggarwal - 2001
211 Privacy Preserving Association Rule Mining in Vertically Partitioned Data – Jaideep Vaidya, Chris Clifton - 2002
132 Maintaining Data Privacy in Association Rule Mining – Shariq Rizvi, Jayant R. Haritsa - 2002
557 How to generate and exchange secrets – A C Yao - 1986
41 Privacy-preserving distributed mining of association rules on horizontally partitioned data – Christopher Clifton, Murat Kantarcioglu, Chris Clifton, Senior Member
2438 Mining Association Rules between Sets of Items in Large Databases – Rakesh Agrawal, Tomasz Imielinski, Arun Swami - 1993
2675 Fast Algorithms for Mining Association Rules – Rakesh Agrawal, Ramakrishnan Srikant - 1994
68 Secure Multi-Party Computation Problems and Their Applications: A Review And Open Problems – Wenliang Du, Mikhail J. Atallah - 2001
250 Limiting Privacy Breaches in Privacy Preserving Data Mining – Alexandre Evfimievski, Johannes Gehrke, Ramakrishnan Srikant - 2003
516 How to play any mental game or a completeness theorem for protocols with honest majority – O Goldreich, S Micali, A Wigderson - 1987
78 Disclosure Limitation of Sensitive Rules – M. Atallah, E. Bertino, A. Elmagarmid, M. Ibrahim, V. Verykios - 1999
65 Using Unknowns to Prevent Discovery of Association Rules – Yücel Saygın, Vassilios S. Verykios, Chris Clifton - 2001
118 Privacy-Preserving K-Means Clustering over Vertically Partitioned Data – Jaideep Vaidya, Chris Clifton - 2003
24 Privacy preserving clustering with distributed EM mixture modeling,” Knowledge and Information Systems – X Lin, C Clifton, M Zhu
134 On the privacy preserving properties of random data perturbation techniques – Hillol Kargupta, Souptik Datta - 2003
41 Hiding Association Rules by Using Confidence and Support – Elena Dasseni, Vassilios S. Verykios, Ahmed K. Elmagarmid, Elisa Bertino - 2001