Sdot Data Analysis

📊 Data Mining: Discovering Hidden Patterns

Data mining involves analyzing large datasets to uncover hidden patterns, relationships, and trends. This technique is widely used in marketing, fraud detection, and recommendation systems.

Common data mining techniques include:

• Clustering – Groups similar data points together, often used in customer segmentation.
• Association Rule Learning – Identifies relationships between different data elements (e.g., "People who buy smartphones also buy phone cases").
• Anomaly Detection – Spots unusual patterns, such as fraudulent transactions in banking.

For example, Netflix and Amazon use data mining to analyze user preferences and suggest personalized content, while financial institutions use it to detect suspicious transactions.