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.
Companies are increasingly aware of the importance of properly analyzing and managing the huge amount of data they store on a daily basis.
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