Jan 29, 2019 · In the paper, a dynamic segment index (i.e., DSTree) is utilized to reduce the huge comparison cost on the similarity join on time series ...

In the paper, a dynamic segment index (i.e., DSTree) is utilized to reduce the huge comparison cost on the similarity join on time series databases. However, ...

In the paper, a dynamic segment index (i.e., DSTree) is utilized to reduce the huge comparison cost on the similarity join on time series databases. However, ...

Similarity join on time series by utilizing a dynamic segmentation index. ... In the paper, a dynamic segment index (i.e., DSTree) is utilized to reduce ...

A segmentation alignment and synopsis evaluation method is proposed to support the estimation of DSTree nodes to significantly reduce the time cost by ...

Similarity join on time series databases is an essential operation for data analysis applications. Due to the curse of dimensionality, it is not suitable to ...

In this paper, we make an important observation: global segmentation of all time series may incur unnecessary cost in space and time for indexing time series.

To address the problem, this paper proposes a method of similarity join over two time series under Dynamic Time Warping (DTW), supporting z-score normalization.

To address the problem, this paper proposes a method of similarity join over two time series under Dynamic Time Warping (DTW), supporting z-score normalization.

Oct 6, 2023 · We reviewed many strategies for similarity search in this post, including Euclidean distance, Dynamic Time Warping, and Fourier Transform. We ...