Machine Learning-Based Smart Home Data Analysis and Forecasting Method

The goal of this paper is to enable cost-effective IoT system design by removing and integrating redundant IoT sensors through correlation analysis between sensing data collected in a smart home environment. This paper presents data analysis and prediction technology that induces meaningful inferenc...

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Bibliographic Details
Main Author: Park, Sanguk
Format: Conference Proceeding
Language:English
Subjects:
Analytical models
Correlation
Data analysis
Data models
Machine learning
Prediction
Predictive models
Sensor systems
Smart homes
Online Access:Request full text
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Description
Summary:The goal of this paper is to enable cost-effective IoT system design by removing and integrating redundant IoT sensors through correlation analysis between sensing data collected in a smart home environment. This paper presents data analysis and prediction technology that induces meaningful inference through data correlation analysis between different heterogeneous IoT sensors installed inside a smart home. Through this, we propose an intelligent service model that can be implemented based on machine learning/deep learning in a smart home environment.
ISSN:2158-4001
DOI:10.1109/ICCE56470.2023.10043406