A novel approach towards Naïve Bayesian classifier

Bayesian Theory has been an elegant basis for the design of classifiers. There are several classifiers which do not adhere with the Bayesian principle strictly but motivated from the very theory, termed as naive Bayesian methods. The present work proposes a naive Bayesian Classification approach which limits the classification process to the basic operation of the key comparison. Moreover we are able to link the two notions of the probability — frequency in ensemble and idea of reasonable expectation by the means of ordinary algebra.