Optimized K Nearest Neighbor Classification Algorithm for Weather Prediction
In one sentence. Applies WEKA classification algorithms, including an optimized KNN, to past weather datasets to predict rainfall, humidity and temperature.
Abstract
Weather has a lot of blow in our daily life and also gained researchers concentration due to its enormous effect in the human life. To defend ourselves from weather, we need to predict the weather such as rainfall, humidity and temperature etc. Using classification algorithms, we can predict the weather by using the past datasets. In this research paper, WEKA tool is used to implement classification algorithms for weather forecasting. Machine Learning is an internal part of artificial intelligence, which is used to design algorithms based on the relationships between data and data trends.
Labels
- Topic
- Local & station forecasting
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.35940/ijrte.d5281.118419 OpenAlex:W4244473393
- Added
- 2026-10-22
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