 A new scheme for extracting association rules: market basket analysis case studyAiman Moyaid Said, P.D.D. Dominic and Suhaiza Zailani International Journal of Business Innovation and Research, 2012, vol. 6, issue 1, 28-46 Abstract: The market basket is defined as an itemset purchased together by a customer on a single visit to a store. The market basket analysis is an influential tool for the implementation of store layout and promotional campaign. Particularly in retailing, it is necessary to discover large baskets, since it deals with thousands of items. Most of the previous studies adopt an apriori-like candidate set generation-and-test approach to analyse the market basket data. Although some algorithms can find large itemsets, they can be inefficient in terms of computational time and memory consumption. The aim of this paper is to present new scheme to discover association rules. In addition, a case study in the retailer market is presented to validate the efficiency of the proposed scheme. Keywords: association rules; frequent itemsets; store layouts; decision-making; promotion decisions; market basket analysis; customers; single visits; promotional campaigns; retailing; retail trade; shopping; large baskets; a priori-like candidates; generation-and-test approach; computational time; memory consumption; supermarkets; business innovation; business research. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbire:v:6:y:2012:i:1:p:28-46 Access Statistics for this article More articles in International Journal of Business Innovation and Research from Inderscience Enterprises Ltd |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.