Detecting fraudulent e-commerce transactions is crucial for maintaining the reliability and trust of online business activities. E-commerce fraud detection aims to prevent fraudulent transactions by proactively identifying and combating suspicious activities. It extends beyond traditional concerns like identity theft and credit card fraud to encompass a broader range of harmful behaviors. Fraud detection in e-commerce transactions has become crucial as online transactions increase. Money laundering, identification robbery, and credit card fraud fall below the umbrella of e-commerce fraud. We recommend applying the KDD-primarily based technique to research patterns and correlations in e-commerce transaction statistics and explain the limitations of data mining for fraud detection in e-trade and possible solutions.