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

July 13, 2014
70 Views


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.

Demiriz, A., Ertek, G., Kula, U., Atan, T. (2011). “Re-Mining Item Associations: Methodology and a Case Study in Apparel Retailing”. Decision Support Systems, 52,pp. 284–293.

Note: This is the final draft version of this paper. Please cite this paper (or this final draft) as above.

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

view PDF

Dr. Gürdal Ertek @ Social Web:

Dr. Gürdal Ertek @ TwitterDr. Gürdal Ertek @ LinkedIn

You may be interested

Wind Turbine Accidents: A Data Mining Study
Data Science
352 views
Data Science
352 views

Wind Turbine Accidents: A Data Mining Study

Dr. Gurdal Ertek - December 12, 2016

Fig. 1. The cause-effect relationship and stages where an accident occurs. Wind Turbine Accidents: A Data Mining Study While the…

Perception gap and its impact on supply chain performance
Data Envelopment Analysis (DEA)
293 views
Data Envelopment Analysis (DEA)
293 views

Perception gap and its impact on supply chain performance

Dr. Gurdal Ertek - January 10, 2016

[caption id="attachment_571" align="alignnone" width="843"] Figure 4. SEM modelling for relationship between performance gaps and performance shortfall[/caption] Figure 4. SEM modelling…

New knowledge in strategic management through visually mining semantic networks
Data Science
185 views
Data Science
185 views

New knowledge in strategic management through visually mining semantic networks

Dr. Gurdal Ertek - January 10, 2016

Fig. 5. Outlier objects. New knowledge in strategic management through visually mining semantic networks Today’s highly competitive business world requires…