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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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Bibliografiska uppgifter
I publikationen:Sensors (Basel)
Huvudupphovsmän: Akter, Syeda, Holder, Lawrence
Materialtyp: Artigo
Språk:Inglês
Publicerad: MDPI 2019
Ämnen:
Länkar: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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