I am working on an application where I have to extract or identify association / correlation between different sets of items. An example would be say if a person buys shoes at a store, would he/she buy socks also? So, I will have to find the association between shoes and socks based on legacy data.
Now, I know that apriori is one famous algorithm for association rule mining. What I want to know that is there any other algorithm which is much more efficient than apriori for association rule mining? By efficiency I mean in terms of implementation easiness, correctness and speed.