Association Rule Learning (ARL) is a type of Machine Learning and Data Mining technique used to discover relationships between variables in large datasets. It is used to identify associations between items in a dataset, such as customers who purchase certain products together. ARL algorithms are used to generate rules that can be used to make predictions about future data. These rules can be used to identify patterns in data, such as customer buying habits, and to make decisions about how to best target customers. Some companies in the ARL market include IBM, Microsoft, Oracle, SAP, SAS, and Teradata. Show Less Read more
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