What are some common data mining techniques?

What are some common data mining techniques?

Some common data mining techniques include classification, clustering, regression, and association rule learning.

Can you explain classification in data mining?

Classification is a technique used to predict the category of data points based on training data. It assigns labels to new data.

What is clustering and how is it different from classification?

Clustering groups similar data points together without predefined labels, while classification assigns labels based on known categories.

What are some real-world applications of these techniques?

Real-world applications include customer segmentation, fraud detection, market basket analysis, and predictive maintenance.