Fraud Detection
Data Science · Further Education · Data Mining and Analysis
This unit introduces data mining techniques for fraud detection, enabling students to identify and prevent fraudulent transactions. Students will learn about supervised and unsupervised learning algorithms, anomaly detection, and fraud detection models.
Zum Üben gibt es 54 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Fraud Detection
- Supervised Learning Algorithms for Fraud Detection
- Unsupervised Learning Algorithms for Fraud Detection
- Anomaly Detection for Fraud Detection
- Fraud Detection Model Building
- Fraud Detection Model Evaluation
- Challenges and Limitations of Fraud Detection
Stichworte
- Fraud Detection
- Data Mining
- Supervised Learning
- Unsupervised Learning
- Anomaly Detection
- Machine Learning
- Artificial Intelligence