Application of Data Warehouse and Data Mining on Landslide Prediction

In order to obtain effective prediction from the historical landslide data, the data mining technology based on data warehouse were used. Combined with the existing landslide multi-dimensional data set, taking the landslide disaster distribution in the new urban area of Badong County as the research object, the landslide disaster sensitivity and disaster zoning model are established. The result shows that the prediction accuracy of the model for the spatial distribution of landslide can reach about 87.5%, and the prediction accuracy on the time scale of landslide is low, about 65%. Its accuracy can meet the engineering requirements. The data warehouse and data mining technology in the field of geological disaster forecast has wide application prospect, which is more convenient and rapid than traditional prediction methods.