Chris Clifton
Chris Clifton
Professor of Computer Science, Purdue University
Verified email at cs.purdue.edu - Homepage
Title
Cited by
Cited by
Year
Privacy preserving association rule mining in vertically partitioned data
J Vaidya, C Clifton
Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002
12992002
Privacy-preserving distributed mining of association rules on horizontally partitioned data
M Kantarcioglu, C Clifton
IEEE transactions on knowledge and data engineering 16 (9), 1026-1037, 2004
12662004
Tools for privacy preserving distributed data mining
C Clifton, M Kantarcioglu, J Vaidya, X Lin, MY Zhu
ACM Sigkdd Explorations Newsletter 4 (2), 28-34, 2002
11052002
Privacy-preserving k-means clustering over vertically partitioned data
J Vaidya, C Clifton
Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003
8242003
SEMINT: A tool for identifying attribute correspondences in heterogeneous databases using neural networks
WS Li, C Clifton
Data & Knowledge Engineering 33 (1), 49-84, 2000
5282000
Using unknowns to prevent discovery of association rules
Y Saygin, VS Verykios, C Clifton
ACM Sigmod Record 30 (4), 45-54, 2001
4362001
Security and privacy implications of data mining
C Clifton, D Marks
ACM SIGMOD Workshop on Research Issues on Data Mining and Knowledge …, 1996
3971996
Hiding the presence of individuals from shared databases
ME Nergiz, M Atzori, C Clifton
Proceedings of the 2007 ACM SIGMOD international conference on Management of …, 2007
3502007
Semantic integration in heterogeneous databases using neural networks
WS Li, C Clifton
Proceedings of the 20th international conference on very large data bases, 1994
3011994
Query flocks: A generalization of association-rule mining
D Tsur, JD Ullman, S Abiteboul, C Clifton, R Motwani, S Nestorov, ...
Acm sigmod record 27 (2), 1-12, 1998
2391998
Secure set intersection cardinality with application to association rule mining
J Vaidya, C Clifton
Journal of Computer Security 13 (4), 593-622, 2005
2382005
Defining privacy for data mining
C Clifton, M Kantarcioglu, J Vaidya
National science foundation workshop on next generation data mining 1 (26), 1, 2002
2302002
A secure distributed framework for achieving k-anonymity
W Jiang, C Clifton
The VLDB journal 15 (4), 316-333, 2006
2182006
Privacy preserving naive bayes classifier for vertically partitioned data
J Vaidya, C Clifton
Proceedings of the 2004 SIAM international conference on data mining, 522-526, 2004
2172004
Multirelational k-anonymity
ME Nergiz, C Clifton, AE Nergiz
IEEE Transactions on Knowledge and Data Engineering 21 (8), 1104-1117, 2008
2102008
Privacy-preserving data integration and sharing
C Clifton, M Kantarcioǧlu, AH Doan, G Schadow, J Vaidya, A Elmagarmid, ...
Proceedings of the 9th ACM SIGMOD workshop on Research issues in data mining …, 2004
2082004
Thoughts on k-anonymization
ME Nergiz, C Clifton
Data & Knowledge Engineering 63 (3), 622-645, 2007
2032007
Privacy preserving naive bayes classifier for horizontally partitioned data
M Kantarcıoglu, J Vaidya, C Clifton
IEEE ICDM workshop on privacy preserving data mining, 3-9, 2003
1932003
Privacy-preserving naive bayes classification
J Vaidya, M Kantarcıoğlu, C Clifton
The VLDB Journal 17 (4), 879-898, 2008
1892008
Privacy-preserving clustering with distributed EM mixture modeling
X Lin, C Clifton, M Zhu
Knowledge and information systems 8 (1), 68-81, 2005
1832005
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