Market Basket Analysis for a Supermarket based on Frequent Itemset Mining
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.
Keywords: Association Rules, Frequent Itemsets, K-Apriori, Market Basket Analysis.
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ABOUT THE AUTHORS
Loraine Charlet Annie M.C.
Associate Professor, Department of Computer Science, Government Arts College, Trichy - 620022, Tamil Nadu, India
D Ashok Kumar
Associate Professor & Head, Department of Computer Science, Government Arts College, Trichy - 620022, Tamil Nadu, India
Loraine Charlet Annie M.C.
Associate Professor, Department of Computer Science, Government Arts College, Trichy - 620022, Tamil Nadu, India
D Ashok Kumar
Associate Professor & Head, Department of Computer Science, Government Arts College, Trichy - 620022, Tamil Nadu, India
