5. The method of claim 1 , wherein: processing the dataset to generate indices comprises iteratively learning joint probability distributions over the dataset to generate the indices; and wherein the method further comprises: periodically determining a confidence quality measure of the indices generated by the processing of the dataset; and terminating processing of the dataset when the confidence quality measure attains a specified threshold.
5. The method of claim 1 , wherein: processing the dataset to generate indices comprises iteratively learning joint probability distributions over the dataset to generate the indices; and wherein the method further comprises: periodically determining a confidence quality measure of the indices generated by the processing of the dataset; and terminating processing of the dataset when the confidence quality measure attains a specified threshold. 8. The method of claim 5 , wherein the confidence quality measure is determined by comparing a known result corresponding to observed and present values within the dataset with a predictive result obtained by querying the indices generated by the processing of the dataset.