High-Utility Frequent Pattern Mining
High utility frequent pattern mining involves discovering patterns in transactional databases where each pattern consists of a set of items that occur frequently and contribute significantly to the overall utility of the dataset. These patterns are characterized by their high utility values, which reflect their importance or usefulness in the context of the application domain.
Applications: Market Basket Analysis, Healthcare Analytics, Web Usage Mining, Fraud Detection.