Comparative Analysis of Association Rule Mining Algorithms in Mining Frequent Patterns
M. Sinthuja, N. Puviarasan, P. Aruna · International Journal of Advanced Research in Computer Science · 2017
Finding frequent patterns in a huge transaction database has wide scope in research. Here in this paper we consider three of the algorithms in an association rule namely Apriori, Predictive Apriori and FP-Growth algorithm. Experiments are done to compare the result of these three algorithms with distinct datasets and present the result. Based on the results, we find that FP-Growth algorithm is more worthwhile than the Predictive Apriori and Apriori algorithms as time consumption is low and the need for candidate patterns is done away.