Which one is the best and most useable algorithm for Association Rule Mining ?

Question

There are three popular algorithms of Association Rule Mining, Apriori (based on candidate generation), FP-Growth (based on without candidate generation) and Eclat (based on lattice traversal). Which one is best in order to easy to use, and implement? Also why should I choose Apriori over other?

Answer 1

Following links would be useful -
http://research.ijcaonline.org/volume69/number25/pxc3888502.pdf
http://www.slideshare.net/deepti92pawar/the-comparative-study-of-apriori-and-fpgrowth-algorithm

For the source code please go through the
http://www.philippe-fournier-viger.com/spmf/index.php?link=download.php
(it includes the source code of FPGrowth, Apriori, Eclat, and many more algorithms).

There is a lof of examples in the source code. The "documentation" section on the website describes them:
http://www.philippe-fournier-viger.com/spmf/index.php?link=documentation.php