Big Data Analytics for Long-Term Meteorological Observations at Hanford Site

A growing number of physical objects with embedded sensors with typically high volume and frequently updated data sets has accentuated the need to develop methodologies to extract useful information from big data for supporting decision making. This study applies a suite of data analytics and core p...

詳細記述

書誌詳細

出版年:	Atmosphere
主要な著者:	Huifen Zhou, Huiying Ren, Patrick Royer, Hongfei Hou, Xiao-Ying Yu
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2022-01-01
主題:	machine learning classification meteorological data Hanford site exploratory data analysis random forest
オンライン･アクセス:	https://www.mdpi.com/2073-4433/13/1/136