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Comparison of ARIMA and Random Forest time series models for prediction of avian influenza H5N1 outbreaks.
Michael J. Kane
Natalie Price
Matthew Scotch
Peter Rabinowitz
Published in:
BMC Bioinform. (2014)
Keyphrases
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random forest
moving average
autoregressive
exponential smoothing
decision trees
autoregressive integrated moving average
random forests
prediction model
hybrid model
public health
arima model
prediction accuracy
avian influenza
logistic regression
non stationary
feature set
multi class
box jenkins
computer vision