Hybrid Approach to Speed-Up the Privacy Preserving Kernel K-means Clustering and its Application in Social Distributed Environment.
P. L. LekshmyM. Abdul RahimanPublished in: J. Netw. Syst. Manag. (2020)
Keyphrases
- distributed environment
- privacy preserving
- partitioned data
- distributed data mining
- provide efficient solutions
- privacy preserving data mining
- distributed systems
- distributed computing
- vertically partitioned data
- privacy preservation
- distributed databases
- intelligent agents
- sensitive information
- peer to peer
- social networks
- social media
- private information
- private data
- data privacy
- sensitive data
- privacy concerns
- multi party
- horizontally partitioned data
- secure multiparty computation
- support vector
- preserving privacy
- privacy requirements
- privacy guarantees
- kernel function
- social networking
- privacy protection
- horizontally partitioned
- privacy sensitive
- feature space
- kernel methods
- homomorphic encryption
- privacy preserving association rule mining
- data publishing
- privacy issues
- differential privacy
- scalar product
- reinforcement learning
- data mining
- artificial intelligence