Abstract: Accurate and timely regional weather prediction is vital for sectors dependent on weather-related decisions. Traditional prediction methods, based on atmospheric equations, often struggle ...

Abstract: This research focuses on improving the k- Anonymization for numerical attributes by optimizing the critical phases of clustering and generalization through a novel Segment Tree-Based ...