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.
One of the decisions faced by a company that needs an IT infrastructure is the choice of where to locate this infrastructure and where to install it.
Read More »Software as a Service (SaaS) companies have gained enormous prominence in the last few years, mainly due to the novelty of the products [...]
Read More »Data Mining is a process of exploration and analysis of large amounts of data, with the objective of discovering patterns, relationships and trends that can be [...]
Read More »The world is experiencing exponential growth in data generation on an ever-increasing scale. According to IDC (International Data Corp.
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