An Application of Ensemble Spatiotemporal Data Mining Techniques for Rainfall Forecasting

The study proposes an ensemble spatiotemporal methodology for short-term rainfall forecasting using several data mining techniques. Initially, Spatial Kriging and CNN methods were employed to generate two spatial predictor variables. The three days prior values of these two predictors and of other s...

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書誌詳細

主要な著者:	Shanthi Saubhagya, Chandima Tilakaratne, Musa Mammadov, Pemantha Lakraj
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2023-06-01
シリーズ:	Engineering Proceedings
主題:	deep learning spatial kriging ensemble cost-sensitive data mining imbalance learning
オンライン･アクセス:	https://www.mdpi.com/2673-4591/39/1/6
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