Machine learning algorithms can detect fraudulent transactions by recognizing unusual patterns in transaction data, such as sudden large purchases or transactions in atypical ____.
Understand the Problem
The question is discussing the capability of machine learning algorithms to identify fraudulent transactions by recognizing atypical patterns in transaction data. The blank is expected to be filled with a word related to transaction behavior or characteristics.
Answer
locations
Machine learning algorithms can detect fraudulent transactions by recognizing unusual patterns in transaction data, such as sudden large purchases or transactions in atypical locations.
Answer for screen readers
Machine learning algorithms can detect fraudulent transactions by recognizing unusual patterns in transaction data, such as sudden large purchases or transactions in atypical locations.
More Information
Machine learning algorithms can help identify fraudulent transactions by analyzing patterns in transaction data, including location. This is especially useful for detecting transactions that occur in locations that are unusual for a particular cardholder.
Sources
- Machine Learning for Fraud Detection - sas.com
- How Machine Learning Helps Detect Fraud - towardsdatascience.com
- Machine Learning for Fraud Detection: A Review - link.springer.com
