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Linkage of Spatio-Temporal Data and Trajectories
The abundance of datasets containing spatio-temporal information calls for novel record linkage methods that can effectively operate on such data to discover records that refer to the same real-world entity. In this paper, we propose the first approach for spatio-temporal record linkage that leverages the power of LSH to provide accuracy guarantees. Through experimental evaluation, we show that our approach outperforms the state-of-the-art method and can scale well to large datasets.
Linkage of Spatio-Temporal Data and Trajectories
The abundance of datasets containing spatio-temporal information calls for novel record linkage methods that can effectively operate on such data to discover records that refer to the same real-world entity. In this paper, we propose the first approach for spatio-temporal record linkage that leverages the power of LSH to provide accuracy guarantees. Through experimental evaluation, we show that our approach outperforms the state-of-the-art method and can scale well to large datasets.
Linkage of Spatio-Temporal Data and Trajectories
Karapiperis, Dimitrios (Autor:in) / Gkoulalas-Divanis, Aris (Autor:in) / Verykios, Vassilios S. (Autor:in)
01.10.2019
309773 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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