Detecting anomalies in cellular networks using an ensemble method.
Gabriela F. CiocarlieUlf LindqvistSzabolcs NováczkiHenning SanneckPublished in: CNSM (2013)
Keyphrases
- detecting anomalies
- cellular networks
- ensemble methods
- anomaly detection
- prediction accuracy
- wireless networks
- data mining applications
- benchmark datasets
- mobile users
- abnormal events
- machine learning methods
- random forest
- base station
- decision trees
- base classifiers
- mobile networks
- multi hop
- supply chain management
- maximum likelihood
- low cost
- data sets
- supervised learning
- databases