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Using Domain Knowledge in Association Rules Mining - Case Study

A case study concerning an approach to application of domain knowledge in association rule mining is presented. Association rules are understood as general relations of two general Boolean attributes derived from columns of an analysed data matrix. Interesting items of domain knowledge are expressed in an intuitive form distinct from association rules. Each particular pattern of domain knowledge is mapped onto a set of all association rules which can be considered as its consequences. These sets are used when interpreting results of data mining procedure. Deduction rules concerning association rules are applied.