Much research work in datamining has gone into improving the predictive accuracy of
statistical classifiers by applying the techniques of discretization and feature selection. As a …

Naive Bayes classifier has gained wide popularity as a probability-based classification
method despite its assumption that attributes are conditionally mutually independent given the …

As a probability-based statistical classification method, the Naïve Bayesian classifier has
gained wide popularity despite its assumption that attributes are conditionally mutually …

Youth tobacco consumption has been called the single most important public health issue
of our era. Non-profit organizations and government agencies are turning increasingly to …

Statistical classifiers typically build (parametric) probabilistic models of the training data, and
compute the probability that an unknown sample belongs to each of the possible classes …

Much research work has gone into both dimensionality reduction and improving the predictive
accuracy of statistical classifiers by applying the techniques of feature selection. In this …

Objective To analyze factors associated with the development of early symptomatic
hydrocephalus following posterior fossa tumor (PFT) surgery in children. Methods In this …

A price competition amongst two centralized dual-channel supply chains (DCSCs) has
been investigated in this study. Three scenarios of competition are studied—a simultaneous …

Higher education system plays a very important role in the social, economic and scientific
development of a nation. The objective of this paper is to highlight the problem of inequality …

The past twenty five years has propelled India as an emergent economy and, in order to drive
this growth, Engineering Education has taken a prominent place with the creation of more …