paper
2019
Local & station forecasting
Application study
Classical ML (trees, GP, linear, kernels)Climate projections / centennial Journal
2019-04-01
004
Apr 2019
Shubhangi G. Malas, Pavan N.Mundhare
Journal of Emerging Technologies and Innovative Research
Applies neural networks and decision trees to 2000–2009 Ibadan, Nigeria station data for weather and extremes prediction; a low-novelty applied study.
WEATHER PREDICTION AND CLIMATE CHANGE STUDIES USING DATA MINING TECHNIQUES
In one sentence. Applies neural networks and decision trees to 2000–2009 Ibadan, Nigeria station data for weather and extremes prediction; a low-novelty applied study.
Labels
- Topic
- Local & station forecasting
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Climate projections / centennial
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- OpenAlex:W3008744268
- Added
- 2026-10-22
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