Using Sequence Mining to Predict Complex Systems: A Case Study in Influenza Epidemics

Algorithm 1

INTS algorithm.

(1)	Cluster search queries obtained from Google correlate using clustering techniques: k-means
(2)	Apply conventional time series prediction models, such as the WES model.
(3)	Obtain prediction using WES model.
(4)	Modify using is centroid of the cluster  = f(, C_j)