Data mining using two-dimensional optimized association rules

Abstract
We discuss data mining based on association rules for two numeric attributes and one Boolean attribute. For example, in a database of bank customers, "Age" and "Balance" are two numeric attributes, and "CardLoan" is a Boolean attribute. Taking the pair (Age, Balance) as a point in two-dimensional space, we consider an association rule of the form(( respectively. We have implemented the algorithms for admissible regions, and constructed a system for visualizing the rules.