International Journal of Engineering Sciences & Research Technology (IJESRT)
Association rule mining is one of the important concepts in data mining domain for analyzing customer's data. The association rule mining is a process of finding correlation among the items involved in different transactions. Traditionally association rule mining is implemented horizontally. For this the authors have plenty of different algorithms in research like Apriori based, FP tree based so on. Recently they have a new method in association rule mining which generates vertical association rules. In horizontal association rule mining they read transaction items record by record basis and computes support of each frequent item or candidate item.