Enhancing scalability in anomaly-based email spam filtering.
Carlos LaordenXabier Ugarte-PedreroIgor SantosBorja SanzPablo García BringasPublished in: CEAS (2011)
Keyphrases
- email spam filtering
- logistic regression
- active learning
- text classification
- machine learning
- anomaly detection
- fault tolerance
- data sets
- anomalous behavior
- case study
- information retrieval
- labeled data
- naive bayes
- loss function
- information systems
- artificial intelligence
- scalability issues
- detecting anomalies
- database