Analysis and prediction of natural disaster using spatial data mining technique

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Data mining, also called KnowledgeDiscovery in Databases (KDD), is the process of automatically searching large volumes of data for patterns using specific DM technique. Goal of the data mining process is to extract information from a data set and transform it to an user understandable structure. Data mining uses the information from the past to analyze the outcome of a particular problem or situation that may arise. Data Mining works to analyze the data stored in data warehouse and also store the data that is being analyzed. Data Mining involves six common classes namely: Anomaly Detection, Association rules learning, Clustering, Classification and Regression.