Elements of information theory
Elements of information theory
Machine Learning
Distributed cooperative Bayesian Learning strategies
Information and Computation
Privacy-preserving data mining
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Text Classification from Labeled and Unlabeled Documents using EM
Machine Learning - Special issue on information retrieval
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
Linearly Combining Density Estimators via Stacking
Machine Learning
Privacy Preserving Data Mining
CRYPTO '00 Proceedings of the 20th Annual International Cryptology Conference on Advances in Cryptology
A Data-Clustering Algorithm on Distributed Memory Multiprocessors
Revised Papers from Large-Scale Parallel Data Mining, Workshop on Large-Scale Parallel KDD Systems, SIGKDD
Collective, Hierarchical Clustering from Distributed, Heterogeneous Data
Revised Papers from Large-Scale Parallel Data Mining, Workshop on Large-Scale Parallel KDD Systems, SIGKDD
Privacy preserving mining of association rules
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Cluster ensembles --- a knowledge reuse framework for combining multiple partitions
The Journal of Machine Learning Research
A novel approach for privacy-preserving video sharing
Proceedings of the 14th ACM international conference on Information and knowledge management
IEEE Transactions on Knowledge and Data Engineering
Visualizing Global Manifold Based on Distributed Local Data Abstractions
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Privacy-preserving demographic filtering
Proceedings of the 2006 ACM symposium on Applied computing
The VLDB Journal — The International Journal on Very Large Data Bases
Service-Oriented Distributed Data Mining
IEEE Internet Computing
Graph-Based Abstraction for Privacy Preserving Manifold Visualization
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
Privacy-preserving agent-based distributed data clustering
Web Intelligence and Agent Systems
Privacy preserving clustering on horizontally partitioned data
Data & Knowledge Engineering
Cumulative Voting Consensus Method for Partitions with Variable Number of Clusters
IEEE Transactions on Pattern Analysis and Machine Intelligence
A privacy preserving technique for distance-based classification with worst case privacy guarantees
Data & Knowledge Engineering
Meta methods for model sharing in personal information systems
ACM Transactions on Information Systems (TOIS)
Privacy Preserving Data Mining Research: Current Status and Key Issues
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
CONSENSUS-BASED ENSEMBLES OF SOFT CLUSTERINGS
Applied Artificial Intelligence
Privately detecting bursts in streaming, distributed time series data
Data & Knowledge Engineering
Providing predictions on distributed HMMs with privacy
Artificial Intelligence Review
A distributed approach to enabling privacy-preserving model-based classifier training
Knowledge and Information Systems
Learning global models based on distributed data abstractions
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
A rules-based approach for configuring chains of classifiers in real-time stream mining systems
EURASIP Journal on Advances in Signal Processing
A pioneering cryptic random projection based approach for privacy preserving data mining
IRI'09 Proceedings of the 10th IEEE international conference on Information Reuse & Integration
Distributed data mining and agents
Engineering Applications of Artificial Intelligence
Inference in distributed data clustering
Engineering Applications of Artificial Intelligence
Efficient privacy preserving distributed clustering based on secret sharing
PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining
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
Privacy-preserving data mining through knowledge model sharing
PinKDD'07 Proceedings of the 1st ACM SIGKDD international conference on Privacy, security, and trust in KDD
IEEE Transactions on Information Technology in Biomedicine
Distributed data clustering in multi-dimensional peer-to-peer networks
ADC '10 Proceedings of the Twenty-First Australasian Conference on Database Technologies - Volume 104
IEEE Transactions on Image Processing
PSO driven collaborative clustering: A clustering algorithm for ubiquitous environments
Intelligent Data Analysis - Ubiquitous Knowledge Discovery
Mixture of gaussian models and bayes error under differential privacy
Proceedings of the first ACM conference on Data and application security and privacy
Learning latent variable models from distributed and abstracted data
Information Sciences: an International Journal
Privacy preserving spatio-temporal clustering on horizontally partitioned data
Ubiquitous knowledge discovery
Privacy preserving spatio-temporal clustering on horizontally partitioned data
Ubiquitous knowledge discovery
Privacy-preserving decision tree mining based on random substitutions
ETRICS'06 Proceedings of the 2006 international conference on Emerging Trends in Information and Communication Security
On robust and effective k-anonymity in large databases
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Privacy preserving spatio-temporal clustering on horizontally partitioned data
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Privacy preserving unsupervised clustering over vertically partitioned data
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part V
Unit volume based distributed clustering using probabilistic mixture model
DS'05 Proceedings of the 8th international conference on Discovery Science
ESORICS'05 Proceedings of the 10th European conference on Research in Computer Security
Clustering distributed data streams in peer-to-peer environments
Information Sciences: an International Journal
Automatic document organization in a p2p environment
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
International Journal of Metadata, Semantics and Ontologies
A Knowledge Model Sharing Based Approach to Privacy-Preserving Data Mining
Transactions on Data Privacy
International Journal of Metadata, Semantics and Ontologies
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We present a framework for clustering distributed datain unsupervised and semi-supervised scenarios, taking intoaccount privacy requirements and communication costs.Rather than sharing parts of the original or perturbed data,we instead transmit the parameters of suitable generativemodels built at each local data site to a central location.We mathematically show that the best representative of allthe data is a certain "mean" model, and empirically showthat this model can be approximated quite well by generatingartificial samples from the underlying distributions usingMarkov Chain Monte Carlo techniques, and then fittinga combined global model with a chosen parametric form tothese samples. We also propose a new measure that quantifiesprivacy based on information theoretic concepts, andshow that decreasing privacy leads to a higher quality of thecombined model and vice versa. We provide empirical resultson different data types to highlight the generality of ourframework. The results show that high quality distributedclustering can be achieved with little privacy loss and lowcommunication cost.