RainForest is an interesting scalable algorithm for decision tree induction. Develop a
scalable naive Bayesian classification algorithm that requires just a single scan of the
entire data set for most databases. Discuss whether such an algorithm can be refined
to incorporate boosting to further enhance its classification accuracy. ?
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