A curated list of data mining papers about fraud detection.
Browse a collection of research papers focused on detecting fraud in data.
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awesome-fraud-detection-papers has 1.8k stars on GitHub. It has been forked 331 times. awesome-fraud-detection-papers is written mainly in Python. It has been in active development since 2019. awesome-fraud-detection-papers is available under the CC0-1.0 license. Its main topics are churn, classification, classifier, credit-card-fraud.
A curated list of data mining papers about fraud detection.
awesome-fraud-detection-papers is an open-source project. It is released under the CC0-1.0 license.
Yes. awesome-fraud-detection-papers is free and open source — you can use, modify and self-host it.
awesome-fraud-detection-papers is available under the CC0-1.0 license.
awesome-fraud-detection-papers is written mainly in Python.
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