Conceptual Introduction to the important thing methods
Have you ever ever observed a pal in a gaggle picture with their eyes closed, standing out awkwardly?
That’s an anomaly!
Now that’s easy. However how can we outline anomalies within the information world?
Okay, so on the planet of information, anomalies are these odd information factors that deviate considerably from the norm (others).
Typically, they’re simply noise. However on different instances, they maintain essential data, like fraud, community intrusions, or system failures.
On this information, we’ll undergo the world of anomaly detection and canopy the next subjects:
- Why anomaly detection issues
- Key Anomaly Detection Methods
- Z-score
- Isolation Forest
- DBSCAN
- One-Class SVM
- Autoencoders
3. Selecting the best method
4. Main limitations
Anomaly detection helps in eventualities like:
- Fraud Detection: Recognizing suspicious transactions in banking.
