How does change detection work?

Can you explain how change detection works in data analysis?

Sure! Change detection is a technique used to identify differences in data over time. It helps in monitoring changes in various datasets.

What are some common methods used for change detection?

Common methods include statistical tests, image differencing, and machine learning algorithms. Each method has its own use cases.

How is change detection applied in real-world scenarios?

It's widely used in fields like remote sensing, environmental monitoring, and even in software development to track changes in code.

Are there any challenges associated with change detection?

Yes, challenges include dealing with noise in data, ensuring accuracy, and managing large datasets efficiently.