Home ›
Entities
› academia
› A Novel Hybrid Approach Based on Instance Based Learning Classifier and Rotation Forest Ensemble for Spatial Prediction of Rainfall-Induced Shallow Landslides using GIS
A Novel Hybrid Approach Based on Instance Based Learning Classifier and Rotation Forest Ensemble for Spatial Prediction of Rainfall-Induced Shallow Landslides using GIS
Research article (Sustainability, 2017) · cited 39× · AI/ML
A Novel Hybrid Approach Based on Instance Based Learning Classifier and Rotation Forest Ensemble for Spatial Prediction of Rainfall-Induced Shallow Landslides using GIS
Summary
A Novel Hybrid Approach Based on Instance Based Learning Classifier and Rotation Forest Ensemble for Spatial Prediction of Rainfall-Induced Shallow Landslides using GIS is a scholarly article[1].
Key Facts
A Novel Hybrid Approach Based on Instance Based Learning Classifier and Rotation Forest Ensemble for Spatial Prediction of Rainfall-Induced Shallow Landslides using GIS's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A Novel Hybrid Approach Based on Instance Based Learning Classifier and Rotation Forest Ensemble for Spatial Prediction of Rainfall-Induced Shallow Landslides using GIS. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-hybrid-approach-based-on-instance-based-learning-classifier-and-rotation-forest-ensemble-for-spatial-prediction-
MLA“A Novel Hybrid Approach Based on Instance Based Learning Classifier and Rotation Forest Ensemble for Spatial Prediction of Rainfall-Induced Shallow Landslides using GIS.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-hybrid-approach-based-on-instance-based-learning-classifier-and-rotation-forest-ensemble-for-spatial-prediction-.
BibTeX@misc{4ortxyz_a-novel-hybrid-approach-based-on-instance-based-learning-classifier-and-rotation-forest-ensemble-for-spatial-prediction-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Novel Hybrid Approach Based on Instance Based Learning Classifier and Rotation Forest Ensemble for Spatial Prediction of Rainfall-Induced Shallow Landslides using GIS}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-hybrid-approach-based-on-instance-based-learning-classifier-and-rotation-forest-ensemble-for-spatial-prediction-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Novel Hybrid Approach Based on Instance Based Learning Classifier and Rotation Forest Ensemble for Spatial Prediction of Rainfall-Induced Shallow Landslides using GIS — https://4ort.xyz/entity/a-novel-hybrid-approach-based-on-instance-based-learning-classifier-and-rotation-forest-ensemble-for-spatial-prediction- (retrieved 2026-05-24)