Data mining is the process of discovering patterns, correlations, and useful insights from large datasets using statistical, machine learning, and database techniques.

Explanation:

• Helps in prediction, classification, clustering, and association rule mining.
• Used in customer behavior analysis, fraud detection, and business forecasting.
• Popular techniques include:
  • Clustering (e.g., K-Means)
  • Classification (e.g., Decision Trees)
  • Association Rules (e.g., Market Basket Analysis)

Example of Association Rule Mining (Market Basket Analysis):

If customers buy “bread” and “butter,” they are likely to buy “milk.”