Riesen Coauthors Paper on National Crime Victimization Survey Data

Michael Riesen coauthored the paper entitled "A Bayesian Belief Network Classifier for Predicting Victimization in National Crime Victimization Survey," concerning the "development of a Bayes net classifier for prediction of a victimization attribute value for the National Crime Victimization Survey dataset." The classifier was developed with the Weka machine learning software workbench and simulation results show that it is feasible to develop a Bayesian belief network classifier for victimization attribute despite the survey dataset having more than 250 attributes and 216,000 data points. 

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