Long-term prediction of multiple types of time-varying network traffic using chunk-based ensemble learning.
Aleksandra KnapinskaPiotr LechowiczWeronika WegierKrzysztof WalkowiakPublished in: Appl. Soft Comput. (2022)
Keyphrases
- network traffic
- ensemble learning
- multiple types
- prediction accuracy
- ensemble methods
- intrusion detection
- anomaly detection
- generalization ability
- co occurrence
- intrusion detection system
- base classifiers
- class labels
- real world
- unlabeled data
- random forest
- contextual information
- feature selection
- multiple features
- prediction model
- learning algorithm
- machine learning
- knowledge discovery
- object recognition
- concept drift