17. The method of claim 15 , wherein the time partitioned data comprise binned data, the method further comprising: classifying the time partitioned data according to the plurality of classes, to form binned and classified data.
17. The method of claim 15 , wherein the time partitioned data comprise binned data, the method further comprising: classifying the time partitioned data according to the plurality of classes, to form binned and classified data. 18. The method of claim 17 , wherein disposing a Markov model having the architecture, for trend prediction, comprises: initializing the Markov model, comprising: determining initial state probabilities by applying a counting method to the binned and classified data; and determining initial transition probabilities by applying a counting method to the binned and classified data; training the Markov model; and deploying the Markov model.