Learning association is the process of developing insights into various associations between products.
A good example is how seemingly unrelated products may reveal an association to one another When analyzed in relation to buying behaviors of customers.
One application of machine learning- Often studying the association between the products people buy, which is also known as basket analysis. If a buyer buys ‘X’, would he or she force to buy ‘Y’ because of a relationship that can identify between them? This leads to the relationship that exists between fish and chips etc.
When new products launch in the market knowing these relationships, it develops a new relationship. Knowing these relationships could help in suggesting the associated product to the customer.
For a higher likelihood of the customer buying it, It can also help in bundling products for a better package. This learning of associations between products by a machine is learning associations.
Once we found an association by examining a large amount of sales data, Big Data analysts. It can develop a rule to derive a probability test in learning a conditional probability.