PP-OMDS: An Effective and Efficient Framework for Supporting Privacy-Preserving OLAP-based Monitoring of Data Streams.
Alfredo CuzzocreaAssaf SchusterGianni Viardo VercelliPublished in: ICEIS (1) (2018)
Keyphrases
- privacy preserving association rule mining
- privacy preserving
- data mining
- data streams
- multi party
- privacy guarantees
- privacy preservation
- privacy concerns
- privacy preserving data mining
- data privacy
- dimensionality reduction
- provide efficient solutions
- data sets
- record linkage
- sensitive information
- user privacy
- preserving privacy
- partitioned data
- horizontally partitioned
- privacy preserving data mining algorithms
- scalar product
- databases