A survey of Bayesian Data Mining - Part I: Discrete and semi-discrete Data Matrices
Stefan Arnborg · 1999
This tutorial summarises the use of Bayesian analysis and Bayes factors for finding significant properties of discrete (categorical and ordinal) data. It overviews methods for finding dependencies and graphical models, latent variables, robust decision trees and association rules.