Prediction Future Disaster Using Convex Hull & K-Mean, An Approach

Data mining concept is used to find pattern of data from large set of data. In this proposed model firstly any kind of disaster information taken like time, place from all over the world have been collected. The complete database has been divided according to location and after that location wise it divided into two parts - natural disaster and man-made disaster then find out the outer region of the unstructured data by using convex hull. According to month of occurrence, previous structural data are passed through K-mean and the clustered data is passed through priority based protocol and then the resultant data can be used to predict future disaster by the analysis of the previous data.