Market basket analysis is a data mining technique used to analyse patterns in products that are sold together in a shop or on an e-commerce site. The objective is to identify relationships between products that are frequently purchased together and to use this information to improve business decision-making.
Shopping basket analysis is used in a variety of business applications, such as optimising the layout of products in a shop or website, customer segmentation and product recommendation. The technique can also be used to detect fraud in e-commerce transactions.
Shopping cart analysis is used in a variety of business applications, such as optimizing the layout of products in a store or website, customer segmentation and product recommendation. The technique can also be used to detect fraud in e-commerce transactions.
Machine learning is a branch of artificial intelligence (AI) that is based on making a system capable of learning from the information it receives.
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