Naive Bayesian Classifier for Workload Prediction?

You can begin with Markov Model . In Markov Model you assume that probability of each state is given only by the previous state. For example in a series like 000111100111 you get following transition occurrences.

I cant really gove you an answer,but what I can give you is a way to a solution, that is you have to find the anglde that you relate to or peaks your interest. A good paper is one that people get drawn into because it reaches them ln some way.As for me WW11 to me, I think of the holocaust and the effect it had on the survivors, their families and those who stood by and did nothing until it was too late.