Essays about: "credit card fraud detection"
Showing result 6 - 8 of 8 essays containing the words credit card fraud detection.
-
6. A Comparative Evaluation Of Semi-supervised Anomaly Detection Techniques
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As we are entering the information age and the amount of data is rapidly increasing, the task of detecting anomalies has become a necessity in many organizations as anomalies often reveal useful information which in many cases can be critical to save lives or to catch imposters. The semi-supervised approach to anomaly detection which is based on the fact that the user has no information about anomalies has become widely popular since it’s easier to model the normal state of systems than to obtain information about every anomalous behavior. READ MORE
-
7. Fraud Detection on Unlabeled Data with Unsupervised Machine Learning
University essay from KTH/Hälsoinformatik och logistikAbstract : A common problem in systems handling user interaction was the risk for fraudulent behaviour. As an example, in a system with credit card transactions it could have been a person using a another user's account for purchases, or in a system with advertisment it could be bots clicking on ads. READ MORE
-
8. CREDIT CARD FRAUD DETECTION (Machine learning algorithms)
University essay from Umeå universitet/StatistikAbstract : Credit card fraud is a field with perpetrators performing illegal actions that may affect other individuals or companies negatively. For instance, a criminalcan steal credit card information from an account holder and then conduct fraudulent transactions. READ MORE
