benedekrozemberczki/awesome-fraud-detection-papers
An awesome list compiling research papers on machine learning methods for fraud detection from data mining and AI conferences.
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This repository aggregates academic papers on fraud detection from major venues including KDD, AAAI, IJCAI, ICDM, and ACL. It covers supervised and unsupervised methods including deep learning, gradient boosting, graph classification, and random forests applied to credit card fraud, churn prediction, and credit scoring. The list serves as a reference resource for researchers and practitioners in the fraud detection domain.
Frequently asked
- What is benedekrozemberczki/awesome-fraud-detection-papers?
- An awesome list compiling research papers on machine learning methods for fraud detection from data mining and AI conferences.
- Is awesome-fraud-detection-papers open source?
- Yes — benedekrozemberczki/awesome-fraud-detection-papers is open source, released under the CC0-1.0 license.
- What language is awesome-fraud-detection-papers written in?
- benedekrozemberczki/awesome-fraud-detection-papers is primarily written in Python.
- How popular is awesome-fraud-detection-papers?
- benedekrozemberczki/awesome-fraud-detection-papers has 1.8k stars on GitHub.
- Where can I find awesome-fraud-detection-papers?
- benedekrozemberczki/awesome-fraud-detection-papers is on GitHub at https://github.com/benedekrozemberczki/awesome-fraud-detection-papers.