Learning Continuous Time Bayesian Network Classifiers Using MapReduce
Published in Foundation for Open Access Statistics • Dec 1, 2014
NobleIDNI5P04W64R71S57
Authors:,
Simone Villa
Marco Rossetti
Abstract
Parameter and structural learning on continuous time Bayesian network classifiers are challenging tasks when you are dealing with big data. This paper describes an efficient scalable parallel algorithm for parameter and structural learning in the case of complete data using the MapReduce framework. ...
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