Re‐mining item associations: Methodology and a case study in apparel retailing

Re‐mining item associations: Methodology and a case study in apparel retailing

0.00 Avg rating0 Votes
Article ID: iaor201110924
Volume: 52
Issue: 1
Start Page Number: 284
End Page Number: 293
Publication Date: Dec 2011
Journal: Decision Support Systems
Authors: , , ,
Keywords: management, e-commerce, retailing
Abstract:

Association 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.

Reviews

Required fields are marked *. Your email address will not be published.