BIG DATA ANALYTICS FOR AIR QUALITY MONITORING ASSESSMENT BASED ON IoT PLATFORM

被引：0
|
作者：
Ivanova, Desislava [1 ]
Elenkov, Angel [2 ]
机构：
[1] Tech Univ Sofia, Fac Appl Math & Informat, Dept Informat, Sofia, Bulgaria
[2] Tech Univ Sofia, Fac German Engn & Econ Educ, Sofia, Bulgaria
来源：
INTERNATIONAL JOURNAL ON INFORMATION TECHNOLOGIES AND SECURITY | 2019年 / 11卷 / 02期
关键词：
IoT; Big Data Analytics; Air Quality Monitoring;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper is proposed a machine learning algorithm for IoT platform, Paspberry Pi to predict the values of various pollutants in the air based on big data analytics. The conceptual model of the proposed system and experimental framework is designed for the case of verification and validation of the proposed machine learning model for air quality monitoring and assessment using the datasets for the last five years provided by the Executive Environment Agency (EEA), Ministry of Environment and Water, Bulgaria.
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页码：43 / 50
页数：8
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