The gene expression data obtained through the technology of microarrays are characterized by its considerably greater amount of features in comparison to the number of observations. The direct use of traditional statistics ...

Logistic regression analysis is used in classification to find out which group an individual belong from a predictor variables set. In classification sometimes we work with data sets with more variables than observations. ...

A Bayesian network is a compact representation of joint probability function. Formally, a Bayesian network is an acyclic directed graph in which each node represents a random variable and the relationships of dependence ...

Temporal datasets provide records of the evolution and dependencies of random variables over time. Recently, there has been an increase in the application of temporal datasets in areas such as intrusion detection, fraud ...