Data Mining Techniques in Earthquake Prediction Research

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This research explores geological hazard predictions, focusing on data mining techniques and seismic forecasting challenges. It employs a systematic literature review of geophysical data and neural network applications, analysing models like Neuro-Fuzzy classifiers for high-accuracy predictions. Key findings highlight seismic patterns, neural network efficacy, and real-time system integrations. Challenges include data variability, geophysical complexity, and regional dependencies....