Secure Association Rule Mining on Vertically Partitioned Data Using Private-Set Intersection.
Kenta NomuraYoshiaki ShiraishiMasami MohriMasakatu MoriiPublished in: IEEE Access (2020)
Keyphrases
- vertically partitioned data
- association rule mining
- privacy preserving
- set intersection
- scalar product
- association rules
- privacy preserving data mining
- mining algorithm
- privacy preservation
- data mining
- data mining techniques
- constraint networks
- knowledge discovery
- data privacy
- discovered association rules
- itemsets
- association rule mining algorithm
- global consistency
- private information
- sensitive data
- frequent itemsets
- privacy concerns
- privacy protection
- sensitive information
- interestingness measures
- dot product
- positive and negative association rules
- rule mining
- original data
- high dimensional
- real world
- databases
- frequent subtree mining
- database