Discovering frequent trends in time series is a critical task data mining. Recently, order-preserving matching was proposed to find all occurrences of pattern series, where the relative order (regarded as trend) and an occurrence sub-time whose coincides with pattern. Inspired by matching, existing (OPP) mining algorithm employs calculate support, which leads low efficiency. To address this def...
