Disaster forecasting using convex hull & K-median approach

Data mining is a concept to find knowledge from a large set of data. In this proposed model initially disaster, time, place from all over the world have been collected. Then the database has been divided into two parts - natural disaster and man-made disaster, then the outer region of the unstructured data using convex hull has been identified. According to month of occurrence, previous structural data are passed through K-median and the clustered data is passed through priority based protocol and then the resultant data can be used to predict natural disaster or man-made disaster by the analysis of the previous data.