Data Mining in Geological Hazard Prediction

This research delves into data mining techniques for geological hazard prediction, emphasising seismic hazards. Key challenges include unpredictable seismic patterns and regional variability. Advanced methodologies, such as neural networks and clustering, are applied to improve predictive accuracy. Systematic reviews and diverse data sources support analysis, highlighting interventions like radon level assessment and real-time systems. Findings indicate the success of neuro-fuzzy classifiers...