Before revision:  However, adding the temporal dimension into patterns results in an exponential growth of the search space, significantly increasing the mining process complexity. Current TPM approaches either cannot scale to large datasets, or typically work on pre-processed event sequences rather than directly on time series.
After revision:  However, adding the temporal dimension into patterns results in an exponential growth of the search space, increases significantly the mining complexity. This raises an imperative need to have a more efficient and scalable method for temporal pattern mining. Existing TPM methods either cannot scale to large datasets, or typically work on pre-processed event sequences rather than directly on time series.