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Improving IoT Predictions through the Identification of Graphical Features
IoT sensor networks have an inherent graph structure that can be used to extract graphical features for improving performance in a variety of prediction tasks. We propose a framework that represents IoT sensor network data as a graph, extracts graphical features, and applies feature selection method...
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| Pubblicato in: | Sensors (Basel) |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6696358/ https://ncbi.nlm.nih.gov/pubmed/31344811 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19153250 |
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