Performance analysis of regression algorithms and feature selection techniques to predict PM2.5 in smart cities
Author:
Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Link
http://link.springer.com/content/pdf/10.1007/s13198-020-01049-9.pdf
Reference43 articles.
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2. Althuwaynee OF, Balogun AL, Al Madhoun W (2020) Air pollution hazard assessment using decision tree algorithms and bivariate probability cluster polar function: evaluating inter-correlation clusters of PM10 and other air pollutants. GIScience Remote Sens 57(2):207–226
3. Asgari M, Farnaghi M, Ghaemi Z (2017) Predictive mapping of urban air pollution using Apache Spark on a Hadoop cluster. In: Proceedings of the 2017 international conference on cloud and big data computing, September, 2017. pp 89–93
4. Banga A, Ahuja R, Sharma SC (2020) Stacking regression algorithms to predict PM2.5 in the smart city using internet of things. Recent Adv Comput Sci Commun 13:1
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