PRINCIPAL COMPONENT ANALYSIS-VECTOR AUTOREGRESSIVE INTEGRATED (PCA-VARI) MODEL USING DATA MINING APPROACH TO CLIMATE DATA IN THE WEST JAVA REGION

PRINCIPAL COMPONENT ANALYSIS-VECTOR AUTOREGRESSIVE INTEGRATED (PCA-VARI) MODEL USING DATA MINING APPROACH TO CLIMATE DATA IN THE WEST JAVA REGION

Over a long time, atmospheric changes have been caused by natural phenomena. This study uses the Principal Component Analysis (PCA) model combined with Vector Autoregressive Integrated (VARI) called the PCA-VARI model through the data mining approach. PCA reduces ten variables of climate data into t...

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Bibliographic Details
Main Authors: Devi Munandar, Budi Nurani Ruchjana, Atje Setiawan Abdullah
Format: Article
Language:English
Published: Universitas Pattimura 2022-03-01
Series:Barekeng
Subjects:
climate
data mining
forecasting
irf
kdd
pca-vari
variable reduction
Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/4470
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