How is Naïve Bayes used in real-time streaming classification systems?

Naïve Bayes can be updated incrementally and used for fast real-time predictions in streaming systems.

Naïve Bayes supports online learning because its parameters (counts, means, variances) can be updated incrementally without retraining from scratch. This makes it suitable for streaming systems where data arrives continuously. Models can adapt to concept drift efficiently.