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}
}
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
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