Closest fit Approach for Atypical Value Revealing and Deciles Range Anomaly Detection Method for Recovering Misplaced value in Data Mining

In identifying anomalous database values, it is currently a very active research area in the mining community. The task of values to find small group exceptional data objects compared rest large amount data. discovery models an extremely recognized difficulty field mining. An outlier prototype that not related patterns set. proposed method for searching outliers uses detection approach. purpose approach first based on criteria condition.We use information criterion and named Outlier Detection remove from dataset apply deciles range anomaly algorithm Recovery recover missing database.