Affinity analysis,

also known as association rules, is a method of data mining, which creates a set of data for a set of rules to describe the grossed-type If the antecedent is usually consequent where antecedent and consequent are logical expressio ns, for example, Affinity analysis is suitable particularly well to the treatment of nominal and ordinal variables, so it is often used in text mining, where the dominant variables in nominal scale. Another common analysis of the scope of the basket (of which took its name) is a test customer purchasing preferences (ie what is put to the shopping cart). Affinity analysis allows for rules of type if a customer buys diapers and buy car, it often buys clothes blue , which allows such