paper
2023
Local & station forecasting
New model or method
Classical ML (trees, GP, linear, kernels)6 h–3 days Other
2023-08-11
004
Aug 2023
Isaac Kega, Lawrence Nderu, Ronald Waweru Mwangi et al.
preprint
Rough set reducts and association rules create binary features that improve classifiers for Kenyan farm weather from Wunderground data; no numbers in abstract.
Rough Set Theory and Association Rule Mining for Detecting Interactions and Improving Machine Learning Predictions for Weather Prediction in Kenya.
In one sentence. Rough set reducts and association rules create binary features that improve classifiers for Kenyan farm weather from Wunderground data; no numbers in abstract.
Labels
- Topic
- Local & station forecasting
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.22541/au.169173769.98893974/v1 OpenAlex:W4385765270
- Added
- 2026-10-22
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