Discovering itemset interactions
Loading...
Date
2009
Authors
Liang, Ping
Roddick, John Francis
Ceglar, Aaron John
Shillabeer, Anna
de Vries, Denise Bernadette
Journal Title
Journal ISSN
Volume Title
Publisher
Australian Computer Society
Rights
Rights Holder
Abstract
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.
Description
Keywords
Computing, Data mining, Itemset interaction, Relative support
Citation
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.