- Article
Anomalies Detection Using Isolation in Concept-Drifting Data Streams
- Maurras Ulbricht Togbe,
- Yousra Chabchoub,
- Aliou Boly,
- Mariam Barry,
- Raja Chiky and
- Maroua Bahri
Detecting anomalies in streaming data is an important issue for many application domains, such as cybersecurity, natural disasters, or bank frauds. Different approaches have been designed in order to detect anomalies: statistics-based, isolation-base...

