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Papers tagged with "Imbalance"
A Review On Statistical Models For Anomaly Detection Using Metro Turnout Data
Metro Railway Systems Are Among The Most Important Modes Of Urban Transportation, Providing Safe, Reliable, And Efficient Mobility For Millions Of Passengers Every Day. One Of The Most Critical Components Of A Metro Railway Network Is The T...
AN INTELLIGENT MULTI-ALGORITHM MACHINE LEARNING SYSTEM FOR SKIN DISEASE CLASSIFICATION AND PREDICTION
This Paper Proposes An Interpretable And Explainable Multi-class Skin Lesion Classification Model For The HAM10000 Dataset. Timely Detection Of Skin Cancer Is Important But Difficult Due To Class Imbalance And Uninterpretability Of Current...
Identifying Credit Card Frauds Employing Deep Learning
With Increased Internet Usage, Online Transactions Have Been On The Rise. One Of The Most Prevalent Problems Faced Is Credit Cards Frauds. While Web Applications And Mailing Services Are Heavily Spammed, The Upsurge Of Handheld Mobile Devic...
A Survey On Machine Learning And Deep Learning Approaches For Credit Card Fraud Detection
Digital Payment Systems Have Become A Vital Part Of Daily Life, With Credit Cards Being Widely Used For Both Online And Offline Transctions.Banks, Retailers, And Clients Have All Experienced Large Financial Losses Because Of The Sharp Incre...
Predicting Bankruptcy With Precision: Insights From Hybrid Machine Learning Models On Unbalanced Polish Financial Data
Bankruptcy Prediction Is A Critical Area In Financial Risk Assessment, Supporting Timely Decisions For Investors, Regulators, And Institutions. This Study Presents A Comparative Analysis Of Multiple Machine Learning Models, Including Tradit...
Revolutionizing Risk Assessment: A Novel Machine Learning Approach For Motor Insurance Liability Prediction With Gen-AI Integration
Accurately Assessing Insurance Liability Is Crucial For Insurance Companies To Maintain Financial Stability And Minimize Losses. Traditional Manual Liability Prediction In The Insurance Industry Is Fraught With Challenges Such As Subjective...
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...
ANDROID MALWARE DETECTION USING MACHINE LEARNING
The Rapid Increase In The Number Of Mobile Devices, Particularly Android Smartphones, Has Led To A Surge In Malware Attacks Targeting These Devices. To Combat This Growing Threat, Various Methods Have Been Developed, Including Machine Learn...
REVIEW ON DETECTION OF OBJECTS IN DRONE IMAGES
With The Advent Of Drones, New Potential Applications Have Emerged For The Unconstrained Analysis Of Images And Videos From Aerial View Cameras. Despite The Tremendous Success Of The Generic Object Detection Methods Developed Using Ground-b...
EXTREME LEARNING MACHINE BASED APPROACHES FOR IMBALANCED DATA PROBLEM
There Have Been Significant Developments In Recent Years And Changes In The Classification Of Data Have Been Made. The Class Imbalance Problem In Data Mining Is Now The Biggest. The Problem Of Imbalance Arises Where One Of The Two Classes H...
CHALLENGES AND ISSUES FACED BY SUGAR INDUSTRY IN TAMIL NADU - A CASE STUDY
Sugar Is The Second Largest Agro-based Industry In India. The Industry Provides Employment To Skilled And Semi-skilled Workers Mostly From Rural Areas. . Sugar Industry Is One Of The Largest Farms Based Industry, Only Next To Textiles And...
OPTIMIZATION OF SCROLL COMPRESSOR COUNTERWEIGHT DESIGN THROUGH FEA AND EXPERIMENTAL ANALYSIS
This Research Paper Addresses Fracture Of Counterweight Ears During Staking Operation & Fatigue Fracture Of Counterweights In Operating Conditions. This Research Paper Presents On Design Of A Scroll Compressor Counterweight That Balances Al...
Class Imbalance Problem Using Oversampling Technique: Clustering Approach
Now A Day As The Application Area Of Technology Increases The Proportion Of Data And The Nature Also Increases. One Of Such Problem In Data Mining And Machine Learning Techniques Are Class Imbalance Problem. Class Imbalance Problem Is A Pro...