Detection of Financial Fraudulent Activities with Machine Learning: A Case Study of Detecting Potential Tax and Invoice Fraud.
Maohong TianJian LiangDequan ZhangXintong ZhangZuo WangHualin LiPublished in: CSAI (2023)
Keyphrases
- fraud detection
- money laundering
- machine learning
- financial institutions
- automatic detection
- financial data
- data mining
- outlier detection
- data mining techniques
- detecting anomalous
- anomaly detection
- machine learning algorithms
- detection method
- automatically detecting
- object detection
- intrusion detection
- robust detection
- false alarms
- cost sensitive
- criminal activities
- detection algorithm
- computer vision
- region detection
- credit card
- explanation based learning
- computer science
- computational intelligence
- health insurance
- case study
- natural language processing
- machine learning methods
- data analysis
- risk management
- detection accuracy
- activity recognition
- learning tasks
- social network analysis
- false positives
- learning systems
- text mining
- human activities
- decision making
- low false alarm rate
- test bed