Relative High-Utility Pattern Mining

Relative high utility pattern mining involves the discovery of patterns in datasets where each pattern has a high utility relative to other patterns in the dataset. These patterns represent itemsets, sequences, or other structured data elements that contribute significantly to a predefined utility measure compared to other patterns in the dataset.

Applications: Retail and Market Basket Analysis, Recommendation Systems, Financial Transaction Analysis.

• Basic