Open Access
Open access
volume 13 issue 12 pages 1408-1429

A tree-based intelligence ensemble approach for spatial prediction of potential groundwater

Mohammadtaghi Avand 1
Saeid Janizadeh 1
Dieu Tien Bui 2, 3
Himan Shahabi 2, 3
Pham Viet Hoa 4
Phuong Thao T Ngo 5
Phuong T.B. Ngo 5
Viet Ha Nhu 6
Publication typeJournal Article
Publication date2020-01-28
scimago Q1
wos Q1
SJR1.111
CiteScore6.1
Impact factor4.9
ISSN17538947, 17538955
Computer Science Applications
Software
General Earth and Planetary Sciences
Abstract
The objective of this research is to propose and confirm a new machine learning approach of Best-First tree (BFtree), AdaBoost (AB), MultiBoosting (MB), and Bagging (Bag) ensembles for potential gr...
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Cite this
GOST |
Cite this
GOST Copy
Avand M. et al. A tree-based intelligence ensemble approach for spatial prediction of potential groundwater // International Journal of Digital Earth. 2020. Vol. 13. No. 12. pp. 1408-1429.
GOST all authors (up to 50) Copy
Avand M., Janizadeh S., Tien Bui D., Shahabi H., Viet Hoa P., Ngo P. T. T., Ngo P. T., Nhu V. H. A tree-based intelligence ensemble approach for spatial prediction of potential groundwater // International Journal of Digital Earth. 2020. Vol. 13. No. 12. pp. 1408-1429.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1080/17538947.2020.1718785
UR - https://doi.org/10.1080/17538947.2020.1718785
TI - A tree-based intelligence ensemble approach for spatial prediction of potential groundwater
T2 - International Journal of Digital Earth
AU - Avand, Mohammadtaghi
AU - Janizadeh, Saeid
AU - Tien Bui, Dieu
AU - Shahabi, Himan
AU - Viet Hoa, Pham
AU - Ngo, Phuong Thao T
AU - Ngo, Phuong T.B.
AU - Nhu, Viet Ha
PY - 2020
DA - 2020/01/28
PB - Taylor & Francis
SP - 1408-1429
IS - 12
VL - 13
SN - 1753-8947
SN - 1753-8955
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2020_Avand,
author = {Mohammadtaghi Avand and Saeid Janizadeh and Dieu Tien Bui and Himan Shahabi and Pham Viet Hoa and Phuong Thao T Ngo and Phuong T.B. Ngo and Viet Ha Nhu},
title = {A tree-based intelligence ensemble approach for spatial prediction of potential groundwater},
journal = {International Journal of Digital Earth},
year = {2020},
volume = {13},
publisher = {Taylor & Francis},
month = {jan},
url = {https://doi.org/10.1080/17538947.2020.1718785},
number = {12},
pages = {1408--1429},
doi = {10.1080/17538947.2020.1718785}
}
MLA
Cite this
MLA Copy
Avand, Mohammadtaghi, et al. “A tree-based intelligence ensemble approach for spatial prediction of potential groundwater.” International Journal of Digital Earth, vol. 13, no. 12, Jan. 2020, pp. 1408-1429. https://doi.org/10.1080/17538947.2020.1718785.