HPS: A novel heuristic hierarchical pruning strategy for dynamic top-k trajectory similarity query

Author:

Gu Tianyi,Fang Junhua,Pan Zhicheng,Wu Yang,Ban Yi,Chao Pingfu,Zhao Lei

Funder

Natural Science Research of Jiangsu Higher Education Institutions of China

Soochow University

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference49 articles.

1. Learning a warping distance from unlabeled time series using sequence autoencoders;Abid;Neural Information Processing System,2018

2. Anticipatory DTW for efficient similarity search in time series databases;Assent,2009

3. Elpis: Graph-based similarity search for scalable data science;Azizi;VLDB Endowment,2023

4. Improving the spatial–temporal aware attention network with dynamic trajectory graph learning for next point-of-interest recommendation;Cao;Information Processing & Management,2023

5. Chen, L., & Ng, R. (2004). On the marriage of lp-norms and edit distance. In PVLDB (pp. 792–803).

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