Using association rules for product assortment decisions: a case study

作者: Tom Brijs , Gilbert Swinnen , Koen Vanhoof , Geert Wets

DOI: 10.1145/312129.312241

关键词:

摘要: It has been claimed that the discovery of association rules is well-suited for applications market basket analysis to reveal regularities in purchase behaviour customers. Moreover, recent work indicates interesting can fact only be addressed within a microeconomic framework. This study integrates frequent itemsets with (microeconomic) model product selection (PROFSET). The enables integration both quantitative and qualitative (domain knowledge) criteria. Sales transaction data from fullyautomated convenience store used demonstrate effectiveness against heuristic based on product-specific profitability. We show use we are able identify cross-sales potential items this information better selection. Furthermore, impact assortment decisions overall profitability easily evaluated by means sensitivity analysis.

参考文章(23)
Stefanos Manganaris, Ramakrishnan Srikant, Kamal Ali, Partial classification using association rules knowledge discovery and data mining. pp. 115- 118 ,(1997)
Edgar A. Pessemier, Retail assortments-some theoretical and applied problems Marketing Science Institute. ,(1980)
Srinivasan Parthasarathy, Mitsunori Ogihara, Mohammed J Zaki, Wei Li, New algorithms for fast discovery of association rules knowledge discovery and data mining. pp. 283- 286 ,(1997)
Ramakrishnan Srikant, Rakesh Agrawal, Fast algorithms for mining association rules very large data bases. pp. 580- 592 ,(1998)
Jon Kleinberg, Christos Papadimitriou, Prabhakar Raghavan, A Microeconomic View of Data Mining Data Mining and Knowledge Discovery. ,vol. 2, pp. 311- 324 ,(1998) , 10.1023/A:1009726428407
Ramakrishnan Srikant, Rakesh Agrawal, Fast Algorithms for Mining Association Rules in Large Databases very large data bases. pp. 487- 499 ,(1994)
Heikki Mannila, A. Inkeri Verkamo, Ramakrishnan Srikant, Hannu Toivonen, Rakesh Agrawal, Fast discovery of association rules knowledge discovery and data mining. pp. 307- 328 ,(1996)
Heikki Mannila, Methods and Problems in Data Mining international conference on database theory. pp. 41- 55 ,(1997) , 10.1007/3-540-62222-5_35
John P. Nearhos, Michael J. Rothman, Marisa S. Viveros, Applying Data Mining Techniques to a Health Insurance Information System very large data bases. pp. 286- 294 ,(1996)
E Gijsbrechts, A Bultez, P Naert, Pierre Vanden Abeele, Asymmetric cannibalism in retail assortments Journal of Retailing. ,vol. 65, pp. 153- 192 ,(1989)