Linking temporal records
Nettet1. mar. 2024 · This paper studies linking temporal records. First, we apply time decay to capture the effect of elapsed time on entity value evolution. Second, instead of comparing each pair of records... Nettet16. mar. 2024 · Li F, Lee ML, Hsu W, et al. Linking temporal records for profiling entities. In: Proceedings of the 2015 ACM SIGMOD international conference on management of data, SIGMOD '15, Melbourne, Australia, 2015, …
Linking temporal records
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Nettet16. mar. 2024 · Download Citation Linking temporal medical records using non-protected health information data Modern medical research relies on multi-institutional … Nettet22. mar. 2024 · In this paper, we propose a novel system to help users find how records are temporally related and understand how entity profiles evolve over time. Our system …
Nettet27. mai 2015 · This paper proposes a scalable framework for privacy-preserving temporal record linkage that can link different databases while ensuring the privacy of … Nettet9. sep. 2024 · This is called temporal record linkage problem. Li et al. [ 12 ] presents a framework, called MAROON, for temporal record linkage problem. temporal record linkage problem is more challenging than traditional entity resolution problem, because how facts across different sources are related to one another over time should be …
NettetWe will present recent work on linking temporal records. Fusion There are two fundamental challenges in fusing temporal data. First, the time aspect associated with data is often open to interpretation. For example, a colloquium announcement saying “Professor Smith from Stanford gives a talk on March 22, 2015” Nettet10 timer siden · Check out what's clicking on Foxnews.com. New Jersey Devils youngster Luke Hughes scored the first goal of his career on Thursday night on a pass from his brother, Jack Hughes, and helped lock the ...
NettetLi F, Lee ML, Hsu W, et al. Linking temporal records for profiling entities. In: Proceedings of the 2015 ACM SIGMOD international conference on management of data, SIGMOD '15, Melbourne, Australia, 2015, pp.593–605. New York, NY: ACM. Google Scholar. 28. Chiang YH, Doan A and Naughton JF.
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