Analyzing the Application of Apriori Algorithm Based on Association Rule Mining
Association rule mining is primarily used to discover connections between items in a dataset.With the Apriori algorithm as the core and the online orders of stores as the data carrier,this paper explores deeply into the historical records of customers'orders in order to discover the association between different goods.Through the analysis of these association rules,merchants can more accurately understand customers'shopping preferences and behavior patterns,so as to formulate more targeted and practical marketing strategies and effectively improve the sales performance.
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