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Papers tagged with "Fraud Detection"
OPTIMIZED PREDICTIVE MODEL FOR INSURANCE CLAIM FRAUD DETECTION AND ANALYSIS USING MACHINE LEARNING
Insurance Fraud Causes Significant Financial Losses And Is Difficult To Detect Due To Its Similarity To Legitimate Claims. The Growing Volume Of Data And Increasing Fraud Complexity Make Automated Detection Essential. Machine Learning Provi...
The State-of-the-Art Review On The Machine Learning Techniques In Banking And Financial Services (BFS)
The Financial Sector Has Undergone Many Changes With The Advancement Of Technology. Artificial Intelligence Algorithms Are Used To Analyze Large Datasets And Support Making Trades At High Speed Based On Market Patterns. Machine Learning Alg...
Recognition Of Fraudulent Job Advertisements Using A Machine Learning Framework
The Rapid Growth Of Online Job Markets Has Led To A Rise In Fraudulent Postings, Causing Financial And Emotional Harm To Job Seekers. This Study Introduces An Intelligent Fraud Detection System Using Ensemble Machine Learning And NLP To Aut...
Fraud Detection And Analysis For Insurance Claims Using Machine Learning
Insurance Fraud, Particularly In Claim Processing, Results In Billions Of Dollars In Losses Annually For Companies Worldwide. Manual And Rule-based Detection Mechanisms Are Often Inefficient In Detecting Sophisticated Fraud Schemes. This St...
ML Powered Insurance Fraud Detection With Explainability
One Major Issue Facing The Banking Industry Is Insurance Fraud., Leading To Substantial Monetary Losses And Increased Premiums For Honest Policyholders. Traditional Rule-based Fraud Detection Systems Struggle To Adapt To Evolving Fraudulent...
Lightweight Machine Learning Model For Fraud Risk Management In SMEs
This Paper Presents A Lightweight Machine Learning Model For Enterprise Fraud Risk Management (EFRM) In Small And Medium Enterprises (SMEs). Traditional Fraud Detection Systems Are Often Too Resource-intensive For SMEs, Which Face Constrain...
Vehicle Insurance Fraud Detection System
Concern Over Insurance Fraud In The Machine Sedulity Is Growing, As It Can Affect In Significant Financial Losses And Advanced Decorations For Law- Abiding Policyholders. This Study Offers A Machine Knowledge- Predicated System For Further...
ARTIFICIAL INTELLIGENCE IN FRAUD DETECTION : TECHNIQUES, APPLICATIONS AND CHALLENGES
Fraud Detection Has Become An Increasingly Important Field As Digital Transactions Grow And Fraud Tactics Become More Sophisticated. Traditional Fraud Detection Methods, Though Effective, Struggle To Keep Up With The Evolving Nature Of Frau...
DETECTING GST FRAUD THROUGH MACHINE LEARNING TECHNIQUES
The Goods And Services Tax (GST) Is A Significant Change In Tax Policy That Is Designed To Improve Transparency And Efficiency. Nevertheless, GST Fraud Continues To Be A Significant Concern, Obstructing Tax Compliance And Revenue Collection...
Identifing The Fraud Data In Client Card
Credit Card Fraud Has Become A Major Problem In The Financial Industry, Necessitating The Implementation Of Effective Fraud Detection Systems. In This Study, We Examine The Application Of Three Machine Learning Techniques—Naive Bayes, Logis...
Detect and Prevent check Scams in Online banking services
In The Realtime Of Online Banking, The Detection And Prevention Of Check Scams Have Become Paramount To Safeguarding Customers' Assets And Ensuring The Integrity Of Financial Transactions. This Paper Outlines A Multifaceted Approach To Comb...
FRAUD DETECTION AND ANALYSIS FOR INSURANCE CLAIM USING EXTRA TREES CLASSIFIER
Insurance Company Working As Commercial Enterprise From Last Few Years Has Been Experiencing Fraud Cases For All Type Of Claims. Amount Claimed By Fraudulent Is Significantly Huge That May Causes Serious Problems, Hence Along With Governmen...
CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING
The Development Of Technologies Like E-commerce And Financial Technology Apps Has Led To An Increase In The Daily Volume Of Online Card Transactions. The Ability To Misuse Credit Cards Has Also Increased. The Outcome Is An Increase In Credi...
A MACHINE LEARNING BASED CREDIT CARD FRAUD DETECTION
Credit Card Fraud Detection Is An Important Study In The Current Era Of Mobile Payment. Improving The Performance Of A Fraud Detection Model And Keeping Its Stability Are Very Challenging Because Users’ Payment Behaviors And Criminals’ Frau...
CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING
In Today’s World The Credit Card Fraud Is The Biggest Issue And Now There Is Need To Combat Against The Fraud Detection. “Credit Card Fraud Detection Is The Process Of Cleaning Dirty Money, Thereby Making The Source Of Funds No Longer Ident...