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Estimation of Poverty Using Random Forest Regression with Multi-Source Data: A Case Study in Bangladesh.
Xizhi Zhao
Bailang Yu
Yan Liu
Zuoqi Chen
Qiaoxuan Li
Congxiao Wang
Jianping Wu
Published in:
Remote. Sens. (2019)
Keyphrases
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multi source
random forest
data sets
data sources
data analysis
database
neural network
random forests
training data
knowledge discovery
databases
decision trees
training samples
data integration
data fusion
information integration
developing countries