Association rule learning is a data mining technique used to discover patterns and relationships between different variables in large datasets. This technique is used to discover rules that relate different elements in a dataset. These rules are based on the frequency of occurrence of certain elements or sets of elements in the data. Association rule learning is often used in applications such as shopping basket analysis, where it seeks to discover patterns in the products that customers buy together in order to provide personalised recommendations.
The acquisition of new potential customers is one of the most important and difficult processes for a company. Traditionally, it has been necessary to [...]
Read More »Achieving business goals and tracking success is an important aspect of improving any business. In sales, measuring the progress of [...]
Read More »The acquisition of new customers is one of the most important and difficult processes for a company. Traditionally, it has been necessary to resort to [...]
Read More »There is a consensus among executives of the world's leading companies about the crucial impact that Artificial Intelligence (AI) will have on the [...]
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