Fig. 2
From: Cloud spot instance price prediction using kNN regression
An example of using sliding window to divide the price data. a Description of price data when the time interval is 1 hour and the sampling time is one day (\(\varvec{p}=[p_1,p_2,\ldots ,p_{24}]\), \(l_p=24\)). b Description of the sample set generation (\(l_{sw}=12, l_{pt}=4\)), and in this case, the data is just being used completely. c Description of the sample set generation (\(l_{sw}=10, l_{pt}=5\)), and in this case, there is excess of data