Hi, After using FPG within Mahout, you get raw results like this:
Key: i: Value: ([i],K1), ([i, j],K2), ([l, i],K3), etc... This means that for the key i, the top associations with i are first i in K1 transactions, then i and j appears in K2 transactions, etc... with K1 > K2 > K3 > ... Then, you have to use the raw results to measure your associations rules. You can use several metrics, e.g conviction measure (see http://en.wikipedia.org/wiki/Association_rule_learning#Alternative_measures_of_interestingness ). I hope it helped, Louis 2013/5/13 Konstantinos Patsakis <[email protected]> > Hello, > > I am using Mahout's FP-Growth algorithm an I would like to extract > association rules after the frequent pattern mining. > > However, I am experiencing some difficulties because I do not know how to > manipulate the output of Mahout to generate association rules. Maybe you > could help me with this or you need more info about my obstacles? > > Thank you in advance, > Konstantinos
