International Journal of Computer Applications
Data mining defines hidden pattern in data sets and association between the patterns. In data mining and association rule mining is key technique for discovering useful patterns from large collection of data. Frequent item set mining is a famous step of association rule mining. Frequent item set mining is used to gather item sets after discovering association rules. Some limitations exist with the traditional association rule mining algorithms for large-scale data. As for FP-growth algorithm, the success is limited by internal memory size because mining process is on the base of large tree-form data structure.