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Re-mining item associations: methodology and a case study in apparel retailingDemiriz, Ayhan and Ertek, Gürdal and Atan, Tankut and Kula, Ufuk (2011) Re-mining item associations: methodology and a case study in apparel retailing. Decision Support Systems, 52 (1). pp. 284-293. ISSN 0167-9236 This is the latest version of this item.
Official URL: http://dx.doi.org/10.1016/j.dss.2011.08.004 AbstractAssociation mining is the conventional data mining technique for analyzing market basket data and it reveals the positive and negative associations between items. While being an integral part of transaction data, pricing and time information have not been integrated into market basket analysis in earlier studies. This paper proposes a new approach to mine price, time and domain related attributes through re-mining of association mining results. The underlying factors behind positive and negative relationships can be characterized and described through this second data mining stage. The applicability of the methodology is demonstrated through the analysis of data coming from a large apparel retail chain, and its algorithmic complexity is analyzed in comparison to the existing techniques. Available Versions of this Item
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