Advanced Matrix Algorithm (AMA): reducing number of scans for association rule generation
by Marghny H. Mohamed, Mohammed M. Darwieesh, A.B.M. Shawkat Ali
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 6, No. 2, 2011

Abstract: Existing Association Rules Mining (ARM) algorithms basically use multiple scans to extract a rule from a transaction database. Sometime ARM algorithms exit without a rule in the desktop environment due to the high volume of transactions. Matrix Algorithm (MA) is proposed to minimise this issue. However, it is a computational expensive solution. In this paper, we propose Advanced Matrix Algorithm (AMA), to generate an efficient rule by a single scan using the Boolean matrix concept. AMA is comparatively effective and efficient than traditional approaches in terms of computational cost for database scan and frequently candidate sets generation.

Online publication date: Wed, 22-Apr-2015

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