Harnessing the XGBoost Ensemble for Intelligent Prediction and Identification of Factors with a High Impact on Air Quality: A Case Study of Urban Areas in Jakarta Province, Indonesia

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Harnessing the XGBoost Ensemble for Intelligent Prediction and Identification of Factors with a High Impact on Air Quality: A Case Study of Urban Areas in Jakarta Province, Indonesia

This article aims to develop an accurate air quality prediction model to handle Jakarta's air pollution challenges. In this study, data from air quality monitoring stations’ conventional air pollution indexes was employed. In the research phase, data is explored, SMOTE is used to manage imbalan...

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Bibliographic Details
Published in:	Lecture Notes on Data Engineering and Communications Technologies
Main Author:	Wibowo W.; Al Azies H.; Wilujeng S.A.; Abdul-Rahman S.
Format:	Book chapter
Language:	English
Published:	Springer Science and Business Media Deutschland GmbH 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192770804&doi=10.1007%2f978-981-97-0293-0_24&partnerID=40&md5=852c9d63aa80cc944e5893609885be99

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