Discovering Beneficial Associations Among Products Through Network Analysis
Abstract
A common problem faced by retail and online stores is to recommend and advertise the appropriate products to their customers. This problem and many others including shelf management and designing sales promotion can be solved by determining the set of products sold together. Classic approaches of market basket analysis are not of much use when a large amount of data is being processed. In this paper we use graph mining approach to determine the important associations among products that can benefit supermarkets or retail stores.
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