IEEE

A Machine Learning Approach for Credit Card Fraud Detection in Massive Datasets Using SMOTE and Random Sampling

Abstract: The surge in digital transactions has paved the way for an alarming rise in credit card fraud, compelling the need for robust detection systems. The swift progress of technology has ...

Representative Samples: What Percentage of the Population Is Needed?

Discover how to determine the ideal percentage of a population for a representative sample to ensure accurate data analysis with minimal sampling error.

Major earthquakes are just as random as smaller ones

For obvious reasons, it would be useful to predict when an earthquake is going to occur. It has long been suspected that large quakes in the Himalayas follow a fairly predictable cycle, but nature, as ...
IEEE

Adaptive Synthetic Sampling with Generative Adversarial Networks (AS-GAN) for Predicting Chronic Kidney Disease on Unbalanced Data

Abstract: A major issue in medical data analysis is class imbalance, particularly when identifying chronic kidney disease (CKD). With a disproportionately high percentage of cases falling into the ...