Exploiting the Spatio-Temporal Patterns in IoT Data to Establish a Dynamic Ensemble of Distributed Learners

Exploiting the Spatio-Temporal Patterns in IoT Data to Establish a Dynamic Ensemble of Distributed Learners

<p dir="ltr">Internet of Things applications can greatly benefit from accurate prediction models. The performance of prediction models is highly dependent on the quantity and quality of their training data. In this paper, we investigate the creation of a dynamic ensemble from distrib...

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Bibliographic Details
Main Author: Mehdi Mohammadi (5024105) (author)
Other Authors: Ala Al-Fuqaha (4434340) (author)
Published: 2018
Subjects:
Engineering
Materials engineering
Data models
Predictive models
Training data
Load modeling
Computational modeling
Sensors
Distributed deep neural networks
spatio-temporal analysis
ensemble deep learning
bloom filter
Internet of Things
smart city
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