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- W4384202202 abstract "In this paper, a data mining approach has been developed to analyze customer behavioral patterns and to get a further idea of the scale of the products purchased. Using the approach we found the best and least performing products, the average number of the products that the customer is interested in buying, And using the apriori algorithm we can generate the frequent items which can be bought together which will help us in suggesting products for the customer to buy. Each pattern is supported by the support and confidence generated using the apriori algorithm." @default.
- W4384202202 created "2023-07-14" @default.
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- W4384202202 date "2023-07-04" @default.
- W4384202202 modified "2023-09-30" @default.
- W4384202202 title "Market-Based Analysis: Apriori approach to analyze purchase patterns" @default.
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- W4384202202 doi "https://doi.org/10.4108/eetsis.3355" @default.
- W4384202202 hasPublicationYear "2023" @default.
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