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.
Artificial intelligence is changing the world at breakneck speed and you're probably wondering when it will surpass artificial intelligence in the [...]
Read More »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 »Industry 4.0 or the Fourth Industrial Revolution is based on the integration of digital technologies in the production and processing of goods and services.
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 »
