A survey on unsupervised learning algorithms for detecting abnormal points in streaming data.
Anne Marthe Sophie Ngo BibinbeMichael Franklin MbouopdaGertrude Raissa Mbiadou SaleuEngelbert Mephu NguifoPublished in: IJCNN (2022)
Keyphrases
- streaming data
- data streams
- learning algorithm
- sliding window
- concept drift
- supervised learning
- evolving data streams
- data distribution
- data stream mining
- mining data streams
- unsupervised learning
- machine learning
- training data
- deep architectures
- machine learning algorithms
- incoming data
- stream data
- active learning
- massive data streams
- data points
- learning tasks
- stream mining
- semi supervised
- anomaly detection
- dimensionality reduction
- reinforcement learning