Open AccessForecasting daily PM10concentrations in Seoul using various data mining techniques
Author(s) -
Ji Eun Choi,
HyeSun Lee,
Jongwoo Song
Publication year - 2018
Publication title -
communications for statistical applications and methods
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.326
H-Index - 6
eISSN - 2383-4757
pISSN - 2287-7843
DOI - 10.29220/csam.2018.25.2.199
Subject(s) - autoregressive integrated moving average , beijing , air pollution , linear regression , support vector machine , statistics , meteorology , environmental science , linear model , computer science , time series , econometrics , mathematics , machine learning , geography , chemistry , archaeology , organic chemistry , china
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