paper
2020
Local & station forecasting
Evaluation or intercomparison of existing models
Classical ML (trees, GP, linear, kernels)Seasonal to annual Preprint
2020-01-01
004
Jan 2020
Pedro Alejandro Marquez
scholarworks - UTEP (The University of Texas at El Paso)
Compares data mining and machine learning methods for predicting next-year precipitation from weather records; largely a comparative study.
Weather Prediction: Improving Accuracy Using Data Mining And Forecasting Techniques
In one sentence. Compares data mining and machine learning methods for predicting next-year precipitation from weather records; largely a comparative study.
Labels
- Topic
- Local & station forecasting
- Type
- Evaluation or intercomparison of existing models
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Seasonal to annual
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- OpenAlex:W3080248858
- Added
- 2026-10-22
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