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Fraud Detection 2.0: How data science is changing the game
- Data science enables real-time fraud detection and adaptive learning.
- Machine learning algorithms analyze transaction data to identify fraud.
- Common applications of data science in fraud prevention include credit card fraud, insurance fraud, and anti-money laundering.
- Challenges of using data science in fraud detection include data quality, false positives, and privacy regulations.
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