A novel feature engineering algorithm for air quality datasets

A novel feature engineering algorithm for air quality datasets

Feature engineering (FE) is one of the most important steps in data science research. FE provides useful features to be used later in the study. Due to climate change, the research focus is moving towards air quality estimation and the impacts of air pollution on health in Malaysia. Malaysia has 66...

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Main Authors: Usmani, Raja Sher Afgun (Author), Binti Wan Azmi, Wan Nurul Farah (Author), Abdullahi, Akibu Mahmoud (Author), Hashem, Ibrahim Abaker Targio (Author), Pillai, Thulasyammal Ramiah (Author)
Other Authors: Taylor's University, Malaysia (Contributor), Department of Environment, Malaysia (Contributor)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2020-09-01.
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info:eu-repo/semantics/article
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