Discretization algorithms serve ... finance, and computer vision. By converting numerical ... A Max-Relevance-Min-Divergence criterion for data discretization with applications on naive Bayes.

Naive Bayes is considered as one of the most effectual and significant learning algorithms for machine learning and data mining and also has been treated as a core technique in information retrieval.