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.
Fernando Pavón, CEO of Gamco and expert in Artificial Intelligence applied to business explains to us in the AceleraPYMES cycle how small companies can [...]
Read More »Artificial Intelligence (AI) derives from a series of models or branches that can be used in different areas of people's lives, as well as in different areas of [...]
Read More »Nowadays digital transformation is key in any type of business. The 40% of Spanish companies will not exist in its current form in the next few [...]
Read More »The term artificial intelligence (AI) is nowadays, but it was invented in 1956 by John McCarthy, Marvin Minsky and Claude Shannon in the famous [...]
Read More »