A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
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 (author) / Gkoulalas-Divanis, Aris (author) / Verykios, Vassilios S. (author)
2019-10-01
309773 byte
Conference paper
Electronic Resource
English
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