Chapter 3 Replacing Support in Association Rule Mining

The search for association rules in data mining has the aim of identifying the phenomena that are recurrent in a data set. The solution of this problem finds application in many fields, such as analysis of basket data of supermarkets, failures in telecommunication networks, medical test results, lexical features of texts, and so on. The extraction of association rules from very large databases has been solved by researchers in many different ways and the proposed solutions are embedded in as many powerful algorithms. AbstrAct