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CreditFraudDetection

Detecting fraudulent credit card transactions using deep learning.


Final Paper can be found at: /paper/FinalPaper.pdf


The credit card fraud dataset is not included in this repository because of size limitations, but can be downloaded from https://www.kaggle.com/mlg-ulb/creditcardfraud/data After downloading, place the creditcard.csv file in the same directory as the learn.py file for running.


To run the learning:

On Both Platforms: Ensure that python and the pandas/tensorflow packages are installed.

On Linux:

  • Change directory to src_linux
  • Change the learn.py file execution permission to true
  • Run with ./learn.py

On Windows:

  • Change directory to src_win
  • Open the Visual Studio solution file in VS 2017
  • Rrun from the IDE.

The /results/ folder contains the data used in all charts in the paper

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