anomaly or outlier detection, e.g., to extract patterns that identify strange or abnormal events, such as fraudulent insurance claims.

association-rule mining, e.g., to identify products that are frequently bought together.

interrelation rules, e.g., to understand the linkage between customer and production orders.

classification rules or prediction, e.g., in order to identify spam e-mails.

clustering, e.g., to understand customer segmentation.

correlation laws, e.g., to predict how well customers will appreciate the new design of a product.