Articles

Riesen Coauthors "Knowledge Discovery for Query Formulation for Validation of a Bayesian Belief Network"

Articles / June 20, 2010

Michael Riesen coauthored the paper entitled "Knowledge Discovery for Query Formulation for Validation of a Bayesian Belief Network." The paper delves into the proposed machine learning techniques that could be used to discover knowledge in a dataset through if-then rules in order to formulate queries for validation of a Bayesian belief network model of the same data. The proposed methodology was assessed through the National Crime Victimization Survey, which contains more than 250 attributes and 200,000 data points.

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