A Theoretically-Sound Accuracy/Privacy-Constrained Framework for Computing Privacy Preserving Data Cubes in OLAP Environments.
Alfredo CuzzocreaDomenico SaccàPublished in: OTM Conferences (2) (2012)
Keyphrases
- privacy preserving
- data cube
- privacy preserving data mining
- privacy preservation
- theoretically sound
- privacy guarantees
- vertically partitioned data
- privacy concerns
- private information
- sensitive information
- differential privacy
- on line analytical processing
- privacy requirements
- data privacy
- data warehouse
- aggregate queries
- multi dimensional
- personal data
- privacy preserving data mining algorithms
- secure multiparty computation
- privacy preserving association rule mining
- private data
- sensitive data
- privacy protection
- privacy issues
- privacy sensitive
- olap systems
- data mining
- preserving privacy
- personal information
- location privacy
- record linkage
- data structure
- olap queries
- data perturbation
- database systems
- online analytical processing
- horizontally partitioned data
- sparse data
- user privacy
- third party
- data anonymization
- scalar product
- multidimensional databases
- multidimensional data