Abstract: Fraud is the activity which will cause distress to corporations. This Financial fraud has been a huge worry for many organizations across the industries, this insurance industry comprises of over and above thousands companies all across the board, which gathers greater than a trillion dollars premium every year and billions of dollars are being lost every year because of this fraud, thus detection of Insurance Fraud is a burdensome task for the insurance companies. The conventional outlook for detecting insurance fraud was completely dependent on evolving heuristics around the fraudulent indicators. The auto insurance fraud is being considered to be one of the leading categories of fraud, which will be carried out by faking accident claim. In this study, we are concentrating towards tracking down the auto insurance fraud by making use of Machine Learning Techniques (Naïve Bayes Classifier), by using this techniques time complexity will be declined and also depicts the results accurately.

Keywords: Machine Learning techniques, Auto Insurance, Fraud detection, Naïve Bayes Classifier

PDF | DOI: 10.17148/IJARCCE.2020.9715

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