Discovering itemset interactions
Roddick, John Francis
Ceglar, Aaron John
de Vries, Denise Bernadette
Australian Computer Society
Itemsets, which are treated as intermediate results in association mining, have attracted significant research due to the inherent complexity of their generation. However, there is currently little literature focusing upon the interactions between itemsets, the nature of which may potentially contain valuable information. This paper presents a novel tree-based approach to discovering item-set interactions, a task which cannot be undertaken by current association mining techniques.
Computing, Data mining, Itemset interaction, Relative support
Liang, P., Roddick, J.F., Ceglar, A.J., Shillabeer, A. and de Vries, D.B., 2009. Discovering itemset interactions. ACSC '09: Proceedings of the Thirty-Second Australasian Conference on Computer Science, vol. 91, 133-140.