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Abstract
The data mining is data analyzing techniques that used to analyze crime data previously stored from various sources to find patterns and trends in crimes. To solve the problems previously mentioned, data mining techniques employ many learning algorithms to extract hidden knowledge from huge volume of data. Data mining is data analyzing techniques to find patterns and trends in crimes. It can help solve the crimes more speedily and also can help alert the criminal detection automaticallyThe previous system focus in mining the crime data from the crime database for that the KNN clustering is used for clustering the data. The values are classified by using the crime value. Crime values are taken from the crime database. To identify crime falls under category, each crime data is provided with its parametric value. Only clustering of crime data is made and the crime is not been split as per the crime ratio. The proposed system provides security for the crime data during outsourcing. Clustering and Classification is made on information. While classifying the data, the watermark content is used. The watermark content is used for verifying the classification data. Based on clustering and classification, the data can be classified and kept secure. Both Clustering and Classification is made on crime data. Data is secure by applying water mark content on data. The crime is been split as per the crime ratio.