k-Anonymity in Practice: How Generalisation and Suppression Affect Machine Learning Classifiers.
Djordje SlijepcevicMaximilian HenzlLukas Daniel KlausnerTobias DamPeter KiesebergMatthias ZeppelzauerPublished in: CoRR (2021)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning methods
- decision trees
- machine learning approaches
- supervised classification
- feature selection
- privacy preserving
- training data
- information loss
- svm classifier
- learning algorithm
- inductive learning
- pattern recognition
- support vector
- text classification
- support vector machine
- privacy preservation
- privacy protection
- naive bayes
- linear classifiers
- training set
- classifier combination
- feature set
- attribute values
- transfer learning
- learning tasks
- model selection
- multiple classifier systems
- data privacy
- computer vision
- data publishing
- roc curve
- inductive logic programming
- learning problems
- classification algorithm
- information extraction
- supervised learning
- test set
- text mining
- training examples