k-Anonymity in practice: How generalisation and suppression affect machine learning classifiers.
Djordje SlijepcevicMaximilian HenzlLukas Daniel KlausnerTobias DamPeter KiesebergMatthias ZeppelzauerPublished in: Comput. Secur. (2021)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning methods
- decision trees
- machine learning approaches
- supervised classification
- privacy preserving
- learning classifier systems
- feature selection
- privacy protection
- support vector
- pattern recognition
- information loss
- computer vision
- learning algorithm
- training data
- text mining
- training examples
- training set
- linear classifiers
- natural language processing
- text classification
- semi supervised learning
- location based services
- learning tasks
- multiple classifier systems
- test set
- data mining
- naive bayes
- attribute values
- information extraction
- supervised learning
- data sets
- classifier combination
- privacy preservation
- feature extraction
- feature space
- private information
- model selection
- ensemble learning
- classification models
- inductive logic programming
- svm classifier