A distributed asynchronous and privacy preserving neural network ensemble selection approach for peer-to-peer data mining.
Yiannis KokkinosKonstantinos G. MargaritisPublished in: BCI (2012)
Keyphrases
- privacy preserving
- peer to peer
- privacy preserving data mining
- distributed data mining
- neural network
- horizontally partitioned data
- vertically partitioned data
- privacy preservation
- data mining
- ensemble selection
- preserving privacy
- horizontally partitioned
- privacy preserving association rule mining
- multi party
- privacy sensitive
- privacy issues
- partitioned data
- privacy preserving classification
- data privacy
- privacy concerns
- data sharing
- digital libraries
- distributed computing
- distributed environment
- privacy protection
- private information
- sensitive information
- data mining applications
- differential privacy
- secure multiparty computation
- medical data
- knowledge discovery
- artificial neural networks
- distributed systems
- association rules
- scalar product
- data mining algorithms
- distributed data