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A Comparison of Association Rule Discovery and Bayesian Network Causal Inference Algorithms to Discover Relationships in Discrete Data.
Jeff Bowes
Eric Neufeld
Jim E. Greer
John Cooke
Published in:
Canadian Conference on AI (2000)
Keyphrases
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discrete data
causal inference
association rule discovery
continuous data
association rule mining
bayesian networks
high dimensional
learning algorithm
association rules
weighted graph
additive noise
machine learning
latent dirichlet allocation
training data
maximum likelihood