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.
Deep learning translates as deep learning and is a type of artificial intelligence (AI) that is encompassed within machine learning.
Read More »The use of Artificial Intelligence in business is becoming more and more common and necessary for the optimization and evolution of processes. In one of our [...]
Read More »Clustering methods, or grouping, are a fundamental part of the data analysis process, since they allow an automatic segmentation of the data [...]
Read More »Big data analytics is the process of analyzing large and complex data sources to uncover trends, patterns, customer behaviors, and other data sources [...]
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