Privacy-preserved big data analysis based on asymmetric imputation kernels and multiside similarities.
Bo-Wei ChenSeungmin RhoLaurence T. YangYu GuPublished in: Future Gener. Comput. Syst. (2018)
Keyphrases
- data analysis
- big data
- statistical databases
- multiple imputation
- missing values
- data mining
- privacy preserving
- personal information
- data processing
- privacy preserving data mining
- missing data
- business intelligence
- kernel methods
- high dimensional data
- linear combination
- multiple kernel learning
- differential privacy
- feature space
- privacy enhancing
- data mining applications
- personal data
- private data
- privacy aware
- similarity measure
- knowledge discovery
- data collection
- private information
- privacy protection
- location privacy
- kernel function
- rough sets
- machine learning
- similarity matrices
- security risks
- data warehouse
- privacy preservation
- privacy concerns
- sensitive information
- rfid systems
- cloud computing
- multiple kernel
- sensitive data
- data mining algorithms
- missing data imputation
- cluster analysis