Energy Cost and Machine Learning Accuracy Impact of k-Anonymisation and Synthetic Data Techniques.
Pepijn de ReusAna OprescuKoen van ElsenPublished in: ICT4S (2023)
Keyphrases
- synthetic data
- machine learning
- prediction accuracy
- real world
- real image data
- computational cost
- classification accuracy
- machine learning algorithms
- mri data
- inductive learning
- energy consumption
- error rate
- learning algorithm
- data sets
- tuning parameters
- high cost
- total cost
- cost sensitive
- learning tasks
- data mining
- high accuracy
- data analysis
- feature selection
- artificial intelligence
- text classification
- machine learning methods
- knowledge discovery
- knowledge representation
- explanation based learning
- computational complexity
- pattern recognition
- roc analysis
- decision trees