Information Mining from Heterogeneous Data Sources: A Case Study on Drought Predictions

Information Mining from Heterogeneous Data Sources: A Case Study on Drought Predictions

The objective of this study was to develop information mining methodology for drought modeling and predictions using historical records of climate, satellite, environmental, and oceanic data. The classification and regression tree (CART) approach was used for extracting drought episodes at different...

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Bibliographic Details
Main Authors: Getachew B. Demisse, Tsegaye Tadesse, Solomon Atnafu, Shawndra Hill, Brian D. Wardlow, Yared Bayissa, Andualem Shiferaw
Format: Article
Language:English
Published: MDPI AG 2017-07-01
Series:Information
Subjects:
CART
drought
information mining
instances
regression tree
rules
Online Access:https://www.mdpi.com/2078-2489/8/3/79

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