Design an efficient method that performs effective nave Bayesian classification over an infinite data stream (i.e., you

Design an efficient method that performs effective naïve Bayesian classification over an infinite data stream (i.e., you can scan the data stream only once). If we wanted to discover the evolution of such classification schemes (e.g., comparing the classification scheme at this moment with earlier schemes such as one from a week ago), what modified design would you suggest?