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Bridging the gap between expressivity and efficiency in stream reasoning: a structural caching approach for IoT streams
In today’s data landscape, data streams are well represented. This is mainly due to the rise of data-intensive domains such as the Internet of Things (IoT), Smart Industries, Pervasive Health, and Social Media. To extract meaningful insights from these streams, they should be processed in real time,...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer London
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9169600/ https://www.ncbi.nlm.nih.gov/pubmed/35692953 http://dx.doi.org/10.1007/s10115-022-01686-5 |