A New Scheme for Distributed Density Estimation based Privacy-Preserving Clustering.
Chunhua SuFeng BaoJianying ZhouTsuyoshi TakagiKouichi SakuraiPublished in: ARES (2008)
Keyphrases
- density estimation
- privacy preserving
- horizontally partitioned data
- mixture modeling
- privacy preserving data mining
- mixture model
- multi party
- horizontally partitioned
- outlier detection
- privacy sensitive
- partitioned data
- density function
- vertically partitioned data
- probability density
- probability density function
- privacy preservation
- data privacy
- kernel density estimation
- secure multiparty computation
- private information
- privacy concerns
- sensitive information
- gaussian mixture model
- clustering algorithm
- privacy protection
- k means
- data mining
- databases
- data analysis
- information retrieval