Time series classification based on multi-feature dictionary representation and ensemble learning

•Extract both the mean and trend features based on Symbolic Aggregate approXimation.•Design single classifier based on both the mean and trend features.•Construct ensemble classifier by multi-feature dictionary and ensemble learning.•Experiments on real datasets verify effectiveness of our proposal.