Highly Influenced

# Mining and visualising ordinal data with non-parametric continuous BBNs

@article{Hanea2010MiningAV, title={Mining and visualising ordinal data with non-parametric continuous BBNs}, author={Anca M. Hanea and Dorota Kurowicka and Roger M. Cooke and D. A. Ababei}, journal={Computational Statistics & Data Analysis}, year={2010}, volume={54}, pages={668-687} }

- Published in Computational Statistics & Data Analysis 2010
DOI:10.1016/j.csda.2008.09.032

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… CONTINUE READING