Skip to content
#

fraud-prevention

Here are 33 public repositories matching this topic...

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

  • Updated Aug 7, 2019
  • Jupyter Notebook

Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

  • Updated Aug 28, 2019
  • Jupyter Notebook

Personal finance Coin issued during the reign of the Roman emperor Maximian Credit · Debt Mortgage Car loan Credit card Unsecured personal loan Rent-to-own Student loan Pawn Title loan Payday loan Refund anticipation loan Refinancing Debt consolidation Bankruptcy Employment contract Salary Wage Salary packaging Employee stock option Employee benefits Retirement Pension Defined benefit Defined contribution Social security Business plan Corporate action Personal budget Financial planner Financial adviser Stockbroker Financial independence Estate planning See also Bank Cooperative Credit union vte Credit card fraud is a wide-ranging term for theft and fraud committed using or involving a payment card, such as a credit card or debit card, as a fraudulent source of funds in a transaction.[1] The purpose may be to obtain goods without paying, or to obtain unauthorized funds from an account. Credit card fraud is also an adjunct to identity theft. According to the United States Federal Trade Commission, while the rate of identity theft had been holding steady during the mid 2000s, it increased by 21 percent in 2008. However, credit card fraud, that crime which most people associate with ID theft, decreased as a percentage of all ID theft complaints for the sixth year in a row.

  • Updated Dec 30, 2018

Improve this page

Add a description, image, and links to the fraud-prevention topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the fraud-prevention topic, visit your repo's landing page and select "manage topics."

Learn more

You can’t perform that action at this time.