Jaideep Vaidya
Jaideep Vaidya
Distinguished Professor, Rutgers University
Verified email at - Homepage
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Privacy preserving association rule mining in vertically partitioned data
J Vaidya, C Clifton
Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002
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
Privacy-preserving k-means clustering over vertically partitioned data
J Vaidya, C Clifton
Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003
The role mining problem: finding a minimal descriptive set of roles
J Vaidya, V Atluri, Q Guo
Proceedings of the 12th ACM symposium on Access control models and …, 2007
Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics)
S Carlo, F Bonifacio
Lecture Notes in Computer Science 12786, 3-20, 2021
Privacy and data mining
J Vaidya, YM Zhu, CW Clifton
Privacy Preserving Data Mining, 1-5, 2006
Secure set intersection cardinality with application to association rule mining
J Vaidya, C Clifton
Journal of Computer Security 13 (4), 593-622, 2005
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
Privacy-preserving svm classification on vertically partitioned data
H Yu, J Vaidya, X Jiang
Advances in Knowledge Discovery and Data Mining: 10th Pacific-Asia …, 2006
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
Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data
H Yu, X Jiang, J Vaidya
Proceedings of the 2006 ACM symposium on Applied computing, 603-610, 2006
Defining privacy for data mining
C Clifton, M Kantarcioglu, J Vaidya
National science foundation workshop on next generation data mining 1 (26), 1, 2002
Privacy-preserving naive bayes classification
J Vaidya, M Kantarcıoğlu, C Clifton
The VLDB Journal 17 (4), 879-898, 2008
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
Roleminer: mining roles using subset enumeration
J Vaidya, V Atluri, J Warner
Proceedings of the 13th ACM conference on Computer and communications …, 2006
Analysis of political discourse on twitter in the context of the 2016 US presidential elections
U Yaqub, SA Chun, V Atluri, J Vaidya
Government Information Quarterly 34 (4), 613-626, 2017
Privacy-preserving SVM classification
J Vaidya, H Yu, X Jiang
Knowledge and Information Systems 14, 161-178, 2008
Optimal boolean matrix decomposition: Application to role engineering
H Lu, J Vaidya, V Atluri
2008 IEEE 24th International Conference on Data Engineering, 297-306, 2008
Semantics-based automated service discovery
AV Paliwal, B Shafiq, J Vaidya, H Xiong, N Adam
IEEE Transactions on Services Computing 5 (2), 260-275, 2011
Privacy-preserving data mining: Why, how, and when
J Vaidya, C Clifton
IEEE Security & Privacy 2 (6), 19-27, 2004
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