STOC '87 Proceedings of the nineteenth annual ACM symposium on Theory of computing
Privacy-preserving data mining
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Very fast EM-based mixture model clustering using multiresolution kd-trees
Proceedings of the 1998 conference on Advances in neural information processing systems II
On the design and quantification of privacy preserving data mining algorithms
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Privacy preserving association rule mining in vertically partitioned data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Privacy-preserving k-means clustering over vertically partitioned data
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Privacy-Preserving Distributed Mining of Association Rules on Horizontally Partitioned Data
IEEE Transactions on Knowledge and Data Engineering
Maintaining data privacy in association rule mining
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Assuring privacy when big brother is watching
DMKD '03 Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery
Privacy-preserving k-means clustering over vertically partitioned data
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
When do data mining results violate privacy?
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data
Proceedings of the 2006 ACM symposium on Applied computing
Secure set intersection cardinality with application to association rule mining
Journal of Computer Security
Secure computation with horizontally partitioned data using adaptive regression splines
Computational Statistics & Data Analysis
Privacy-preserving Naïve Bayes classification
The VLDB Journal — The International Journal on Very Large Data Bases
Privacy-preserving decision trees over vertically partitioned data
ACM Transactions on Knowledge Discovery from Data (TKDD)
Privacy-preserving data mining in the malicious model
International Journal of Information and Computer Security
Privately detecting bursts in streaming, distributed time series data
Data & Knowledge Engineering
A novel approach for privacy mining of generic basic association rules
Proceedings of the ACM first international workshop on Privacy and anonymity for very large databases
Using cryptography for privacy protection in data mining systems
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
Phoenix: privacy preserving biclustering on horizontally partitioned data
PinKDD'07 Proceedings of the 1st ACM SIGKDD international conference on Privacy, security, and trust in KDD
Efficient privacy-preserving data mining in malicious model
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
Privacy-preserving data mining in presence of covert adversaries
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
Privacy-preserving data mining: a game-theoretic approach
DBSec'11 Proceedings of the 25th annual IFIP WG 11.3 conference on Data and applications security and privacy
Privacy-Preserving SVM classification on vertically partitioned data
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Privacy-Preserving decision trees over vertically partitioned data
DBSec'05 Proceedings of the 19th annual IFIP WG 11.3 working conference on Data and Applications Security
Privacy-preserving SOM-based recommendations on horizontally distributed data
Knowledge-Based Systems
Privacy-Preserving EM algorithm for clustering on social network
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Secure Bayesian model averaging for horizontally partitioned data
Statistics and Computing
Distributed and Parallel Databases
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Privacy and security considerations can prevent sharing of data, derailing data mining projects. Distributed knowledge discovery can alleviate this problem. We present a technique that uses EM mixture modeling to perform clustering on distributed data. This method controls data sharing, preventing disclosure of individual data items or any results that can be traced to an individual site.