about association rule mining
Posted by:
djanahanaa
Date: March 16, 2014 05:36AM
Hi every body
please, I have 2 question about association rule mining
1. I want to calculate the confidence of a given rule after generating frequents itemsets, we all know that the confidence=support(Y)/support(X) where X is our antecedent. My question is how can I modify your Apriori ou Close or even CHARM in order to calculate the support of a givent itemset( i need a function f we gave it an itemset and it returns its support)
2. my seconde question is about FP-tree: i have read that "FP-tree suffers from a costly storing step.(the storage compression of input dataset)" i really want to know if there is any studies that may resolv this problem.
and thanks in advance