FILTERING REDUNDANT CONSUMER TRANSACTION RULES

摘要

Redundancy filtering for consumer transaction rules can be achieved via a variety of techniques. A support band can be used to cluster rules during redundancy analysis. Bit vectors can be used to identify redundant rules. Other features, such as anyfication can be used to advantage. Various benchmarks can be used to demonstrate improved performance.