Earthquake Prediction using Seismic Information

Earhquake is one of the most hazardous, devasting natural calamity and yet a very least predictable natural disaster that occur. Prediction of earthquake has been a challenging research for many researchers. With the increasing amount of earthquake dataset collected, many researchers try to solve the task of predicting the earthquake in future time. Even though many data mining techniques are been used, the prediction rate is not still accurate due to lack of feature extraction technique. The proposed methodology enhance the performance of earthquake prediction. As obtained precursory pattern features along with Random forest regression is used to get prediction of the magnitude of future earthquakes.