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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/2291

Title: Building an association rules framework to improve product assortment decisions
Authors: BRIJS, Tom
SWINNEN, Gilbert
VANHOOF, Koen
WETS, Geert
Issue Date: 2004
Publisher: KLUWER ACADEMIC PUBL
Citation: DATA MINING AND KNOWLEDGE DISCOVERY, 8(1). p. 7-23
Abstract: It has been claimed that the discovery of association rules is well suited for applications of market basket analysis to reveal regularities in the purchase behaviour of customers. However today, one disadvantage of associations discovery is that there is no provision for taking into account the business value of an association. Therefore, recent work indicates that the discovery of interesting rules can in fact best be addressed within a microeconomic framework. This study integrates the discovery of frequent itemsets with a (microeconomic) model for product selection (PROFSET). The model enables the integration of both quantitative and qualitative (domain knowledge) criteria. Sales transaction data from a fully automated convenience store are used to demonstrate the effectiveness of the model against a heuristic for product selection based on product-specific profitability. We show that with the use of frequent itemsets we are able to identify the cross-sales potential of product items and use this information for better product selection. Furthermore, we demonstrate that the impact of product assortment decisions on overall assortment profitability can easily be evaluated by means of sensitivity analysis.
Notes: Limburgs Univ Ctr, Dept Appl Econ Sci, B-3590 Diepenbeek, Belgium.Brijs, T, Limburgs Univ Ctr, Dept Appl Econ Sci, Univ Campus,Gebouw D, B-3590 Diepenbeek, Belgium.
URI: http://hdl.handle.net/1942/2291
DOI: 10.1023/B:DAMI.0000005256.79013.69
ISI #: 000186759800001
ISSN: 1384-5810
Category: A1
Type: Journal Contribution
Validation: ecoom, 2004
Appears in Collections: Research publications

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