A Novel Method For Reducing Risk With Optimized Anomaly Classifier

-Deciding on an uncertain event may lead to risk. Uncertainty occurs due to the lack of knowledge of a particular event or a situation. The only way to avoid this is to analyze the Risk. The risk analyzed properly will reduce the impacts to a great extent. Here the risk management dealt with the anomaly detection mechanism, which is carried out by clustering the data to find the
outlier as the anomaly. The proposed method employs the PCA
mechanism for dimensionality reduction which is further clustered with K means algorithm and classified with decision tree algorithm.