Meta-learning for Automated Selection of Anomaly Detectors for Semi-supervised Datasets.
David SchubertPritha GuptaMarcel WeverPublished in: IDA (2023)
Keyphrases
- meta learning
- semi supervised
- learning tasks
- inductive learning
- meta knowledge
- model selection
- machine learning algorithms
- decision trees
- supervised learning
- semi supervised learning
- machine learning
- anomaly detection
- labeled data
- metamodel
- base classifiers
- benchmark datasets
- pairwise
- unlabeled data
- unsupervised learning
- active learning
- feature selection
- databases
- software engineering
- development process
- real world