Detecting Frauds in Online Transactions Using Anomaly Detection Techniques Such as Over Sampling and UnderSampling Fraud is a major problem in online transactions, costing businesses and consumers billions of dollars each year. Fraudsters are constantly developing new techniques to steal money and personal information
active 2023-10-16 → 2023-11-01 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 17 days from 2023-10-16 to 2023-11-01. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Akashk21 | 1 | 1 | 0 | 0 |
| AtlantaIsHere | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#1AtlantaIsHere2023-11-01 17:08Error in the code
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.