Journal article

Mining and visualising ordinal data with non-parametric continuous BBNs

AM Hanea, D Kurowicka, RM Cooke, DA Ababei

COMPUTATIONAL STATISTICS & DATA ANALYSIS | ELSEVIER SCIENCE BV | Published : 2010

Abstract

Data mining is the process of extracting and analysing information from large databases. Graphical models are a suitable framework for probabilistic modelling. A Bayesian Belief Net (BBN) is a probabilistic graphical model, which represents joint distributions in an intuitive and efficient way. It encodes the probability density (or mass) function of a set of variables by specifying a number of conditional independence statements in the form of a directed acyclic graph. Specifying the structure of the model is one of the most important design choices in graphical modelling. Notwithstanding their potential, there are only a limited number of applications of graphical models on very complex an..

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University of Melbourne Researchers