NDLI: Market Basket Analysis for a Supermarket based on Frequent Itemset Mining

Content Provider	Open Access Library (OALib)
Author	Loraine Charlet Annie M. C. D. Ashok Kumar
Abstract	Market basket analysis is an important component of analytical system in retail organizations to determine the placement of goods, designing sales promotions for different segments of customers to improve customer satisfaction and hence the profit of the supermarket. These issues for a leading supermarket are addressed here using frequent itemset mining. The frequent itemsets are mined from the market basket database using the efficient K-Apriori algorithm and then the association rules are generated.
ISSN	16940784
Journal	International Journal of Computer Science Issues
Publisher	IJCSI Press
Publisher Date	2012-01-01
Access Restriction	Open
Subject Keyword	Market Basket Analysis. IJCSI Association Rules Frequent Itemsets K-Apriori
Content Type	Text
Resource Type	Article

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