Optimizing infrastructure resource allocation in rural areas using clustering and decision tree analysis: a case study of Golestan Province, Iran
This study explores applying advanced data mining techniques, specifically K-means Clustering and decision tree analysis, to optimize infrastructure resource allocation in rural areas. Focusing on villages in the eastern region of Golestan Province, Iran, this research addresses significant infrastr...
Saved in:
| Main Authors: | Seyyed Najib Hosseini, Vali Borimnejad, Hadi Rahmani-Fazli, Sahar Dehyouri |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
|
| Series: | Sustainable Futures |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666188825006410 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Evaluating the potentials and challenges of agritourism development in Golestan Province, Iran: a clustering and risk analysis
by: Seyyed Najib Hosseini, et al.
Published: (2025-02-01) -
Financial Fear Index in the Digital Financial Assets Market
by: A. О. Ovcharov, et al.
Published: (2021-08-01) -
Driving green technology innovation: The impact of environmental policies on manufacturing
by: Wensheng Wang, et al.
Published: (2025-03-01) -
Analyzing the impact of synergistic environmental regulations and local government competition on carbon neutrality goals
by: Jun Zhao, et al.
Published: (2025-05-01) -
The role of food categories in shaping socioeconomic impacts on the water footprint of household food waste
by: Gracia-de-Rentería Pilar, et al.
Published: (2025-09-01)