ISSN No:2250-3676
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Scholarly Peer Reviewed and Fully Referred Open Access Multidisciplinary Monthly Research Journal


    INCORPORATING DATA MINING METHODS FOR ENHANCINGFRAUD DETECTIONWITHIN FINANCIAL SECTORS

    Dr.T.Charan Singh,M.Tharun Kumar,P.Karthik Goud,N.Prathik Reddy,Md.Abdul Mudassir

    Author

    ID: 1177

    DOI:

    Abstract :

    Fraud Detection Is A Scenario Applicable To Many Industries Such As Banking And Financial Sectors, Insurance, Healthcare, Government Agencies And Law Enforcement And More. There Has Been A Drastic Increase In Recent Years, Pushing Fraud Detection More Important Than Ever. Hundreds Of Millions Of Dollars Are Lost To Fraud Every Year. Upcoding Fraud Is One Such Fraud In Which A Service Provider Acquires Additional Financial Gain By Coding A Service By Upgrading It Even Though The Lesser Service Has Been Performed. Incorporating Artificial Intelligence With Data Mining And Statistics Help To Anticipate And Detect These Frauds And Minimize Costs. Using Sophisticated Data Mining Tools, Millions Of Transactions Can Be Searched To Spot Patterns And Detect Fraudulent Transactions. This Paper Gives An Insight Into The Various Data Mining Tools Which Are Efficient In Detecting Upcoding Frauds Especially In The Healthcare Insurance Sector In India.

    Published:

    09-6-2025

    Issue:

    Vol. 25 No. 6 (2025)


    Page Nos:

    258-264


    Section:

    Articles

    License:

    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

    How to Cite

    Dr.T.Charan Singh,M.Tharun Kumar,P.Karthik Goud,N.Prathik Reddy,Md.Abdul Mudassir , INCORPORATING DATA MINING METHODS FOR ENHANCINGFRAUD DETECTIONWITHIN FINANCIAL SECTORS , 2025, International Journal of Engineering Sciences and Advanced Technology, 25(6), Page 258-264, ISSN No: 2250-3676.

    DOI: