A wide variety of tragedies happen over the globe; the forecast of such catastrophe is imperative for early safeguard and clearing process. The expectation of a quake could be accomplished used antecedents or seismographic information; however, all such strategies can be completed distinctly by the area specialists (seismologist). Information mining strategies have been utilized in a wide assortment of utilizations and different areas. It permitted the forecast of execution and expected movement, which empowers the inference of wise choices. Forecasting earthquake history information can be accomplished by utilizing information mining ideas. In this paper, an expectation model is proposed for envisioning seismic tremors by applying clustering and affiliation rule mining on quake history information. At first, the data is gathered, and they are bunched, this grouped information is passed to the next stage where successive examples are acquired by applying affiliation rule mining, at long last by utilizing the case, the future quakes are anticipated by performing rule coordinating. This paper focuses on a prescient model using noteworthy quake information and mining strategies, which predicts the fore coming earthquake. This expectation model can be utilized to anticipate different seismic occasions, and they can be used for making a forecast in various fields by using a fitting dataset.