Spatial Data Mining technology for GIS: a review

Author:

Ouchra Hafsa1,Belangour Abdessamad1,Erraissi Allae2

Affiliation:

1. Hassan II University, Faculty of Sciences Ben M’sik,Laboratory of Information Technology and Modeling LTIM,Casablanca,Morocco

2. Chouaib Doukkali University,Polydisciplinary Faculty of Sidi Bennour,El Jadida,Morocco

Publisher

IEEE

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Unsupervised Learning for Land Cover Mapping of Casablanca Using Multispectral Imaging;2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS);2024-01-28

2. Assessing Machine Learning Algorithms for Land Use and Land Cover Classification in Morocco Using Google Earth Engine;Lecture Notes in Computer Science;2024

3. Quantitative analysis of landscape changes in geoparks combined with GIS;Applied Mathematics and Nonlinear Sciences;2024-01-01

4. Utilization of Data Mining in Spatial Analysis of Displacement Crisis in Iraq;Lecture Notes in Networks and Systems;2024

5. Exploring Google Earth Engine Platform for Satellite Image Classification Using Machine Learning Algorithms;Lecture Notes in Networks and Systems;2024

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