Accelerating time series similarity search under Move-Split-Merge distance via dissimilarity space embedding

Haowen Zhang, Juan Li, Jinwang Feng, Qing Yao, Yabo Dong

Abstract: Highlights•The method DSEMSM is proposed for accelerating time-series similarity search.•The lower bound technique is used in DSEMSM to improve its efficiency further.•A Furthest approach is used in DSEMSM to perform prototype selection.•We conduct extensive experiments to validate the effectiveness of the proposals.