Privacy-Preserving Mining of Sequential Association Rules from Provenance Workflows.
Mihai MaruseacGabriel GhinitaPublished in: CODASPY (2016)
Keyphrases
- privacy preserving
- association rules
- privacy preservation
- privacy sensitive
- association rule mining
- horizontally partitioned
- data mining
- privacy preserving data mining
- frequent itemsets
- itemsets
- preserving privacy
- knowledge discovery
- frequent patterns
- data mining techniques
- vertically partitioned data
- scientific workflows
- privacy preserving association rule mining
- horizontally partitioned data
- multi party
- private information
- data privacy
- privacy concerns
- record linkage
- sensitive information
- privacy requirements
- interesting patterns
- web services
- scalar product
- private data
- classification rules
- privacy protection
- pattern mining
- partitioned data
- data mining algorithms
- privacy issues
- data publishing
- privacy guarantees
- naive bayesian classification
- secure multiparty computation
- metadata
- databases
- data analysis
- business processes
- privacy preserving classification
- provenance information
- workflow systems
- data structure
- differential privacy
- sensitive data
- medical data
- pattern discovery