Real Time Streaming Of Credit Card Synthetic Transactions And Imbalanced Pattern Analyses Of Extracted Dataset

Abstract

Simulation of the real-time transactions can be achieved through the backend servers while Credit Card expenses online or offline mode. Credit Card transactions simulator generates the data in real time and generate the synthetic imbalanced dataset that can be used for different purpose along with the fraud detection. The synthetic data sets doesn’t contain the personal or private data of any person or any disclosure of any legal transactions. So, this dataset can be used for design, development of fraud detection models. Synthetic dataset can be extracted from the realtime transactions placed through the application where the Credit Card transactions are placed. Further this dataset is synthetic so it’s fast and secure and easy to acquire and customizable for any experimentation. This paper intends to design and develop a synthetic dataset generator Credit Card Transaction Simulator for Credit Card transactions in real time and generates data that usefully approximates the relevant aspects of the real data transactions with the imbalanced patterns.

Keywords: Synthetic Dataset, Simulator, Imbalanced Dataset, Credit Card Dataset, Credit Card Transactions, Credit Card Fraud, Credit Card Fraud Detection

Simulation of the real-time transactions can be achieved through the backend servers while Credit Card expenses online or offline mode. Credit Card transactions simulator generates the data in real time and generate the synthetic imbalanced dataset that can be used for different purpose along with the fraud detection. The synthetic data sets doesn’t contain the personal or private data of any person or any disclosure of any legal transactions. So, this dataset can be used for design, development of fraud detection models. Synthetic dataset can be extracted from the realtime transactions placed through the application where the Credit Card transactions are placed. Further this dataset is synthetic so it’s fast and secure and easy to acquire and customizable for any experimentation. This paper intends to design and develop a synthetic dataset generator Credit Card Transaction Simulator for Credit Card transactions in real time and generates data that usefully approximates the relevant aspects of the real data transactions with the imbalanced patterns.