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Mining Massive E-Health Data Streams for IoMT Enabled Healthcare Systems
With the increasing popularity of the Internet-of-Medical-Things (IoMT) and smart devices, huge volumes of data streams have been generated. This study aims to address the concept drift, which is a major challenge in the processing of voluminous data streams. Concept drift refers to overtime change...
Sparad:
| I publikationen: | Sensors (Basel) |
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| Huvudupphovsmän: | , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
MDPI
2020
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7180875/ https://ncbi.nlm.nih.gov/pubmed/32283841 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20072131 |
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