Mining Optimized Gain Rules for Numeric Attributes

摘要

Association rules are useful for determining correlations between attributes of a relation and have applications in marketing, financial and retail sectors. Furthermore, optimized association rules are an effective way to focus on the most interesting characteristics involving certain attributes. Optimized association rules are permitted to contain uninstantiated attributes and the problem is to determine instantiations such that either the support determine instantiations such that either the support, confidence or gain of the rule is maximized.