Crime Detection System using Data Mining

Data mining plays the key role in crime analysis. There are various number of different algorithm in previous research papers like virtual identifier, pruning strategy, support vector machines and apriori algorithms. "VID" (Virtual ID) is to find relationship between record. Then the "Apriori algorithm is used to around six hundred seconds to detect a mail bomb attack. Which is quite fast as we wanted and its very useful to achieve our goal. We used the "crime mapping analysis based on "KNN" (K-Nearest Neighbor) algorithm to simplify this process and the crime mapping is very essential research area to concentrate on because we can identify the most frequently crime occurring zone with the help of data mining techniques. We use the following steps to reduce the crime rate: i. Collect crime data. ii. Group data. iii. Clustering. iv. Forecasting the data.