Title: An empirical investigation on association rule mining in Indian retail industry

Authors: Ruchi Agarwal; Jayanthi Ranjan

Addresses: Galgotia Institute of Management and Technology, 1, Knowledge park – II, Greater Noida-201306, Distt. Gautam Budh Nagar, India ' Institute of Management Technology, Rajnagar, Ghaziabad, India

Abstract: Retail in India has emerged as one of the most dynamic and fast paced industries with several players entering the market. The data that a retail business collect about their customers is one of its greatest assets. Association rules mining is analysing a large database of supermarket transactions with the aim of finding association rules. Buried within this vast amount of data are all sorts of valuable information that could make a significant difference to the way in which any organisation run their business, interact with their current and prospective customers and gaining the competitive edge on their competitors. Empirical investigation has been done on the retail live transactional data with the help of a data mining tool, Statistica Data Miner. The model with an illustration in this research paper has been discussed. The research in this paper models for incorporating association rules in Indian retail industry.

Keywords: association rules; data mining; customer interaction; retail industry; association rule mining; India; retailing; supermarket transactions.

DOI: 10.1504/IJIIM.2013.057741

International Journal of Intercultural Information Management, 2013 Vol.3 No.3, pp.226 - 241

Received: 15 Nov 2012
Accepted: 01 Jul 2013
Published online: 29 Jul 2014 *

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