I read that "Apriori and Fpgrowth will generate the same association rules." But when I use Apriori and Fpgrowth algorithms in weka. Aprior finds some rules and Fpgrowth find no rule!! Why this happened?
My Data set: http://s000.tinyupload.com/?file_id=67323646698703228823
I first Preprocessing: Numeric to nominal. It is small partition of: http://snap.stanford.edu/class/cs246-data/browsing.txt
That is converted to binominal by zero and one! Qusetion: The action or practice of selling additional products or services to existing customers is called cross-selling. Giving product recommendation is one of the examples of cross-selling that are frequently used by online retailers. One simple method to give product recommendations is to recommend products that are frequently browsed together by the customers. Suppose we want to recommend new products to the customer based on the products they have already browsed on the online website. With a Tool using the A-priori algorithm & FP-Growth to find products which are frequently browsed together.llo, I read that Hide Copy Code Apriori and Fpgrowth will generate the same association rules. But when I use Apriori and Fpgrowth algorithms in weka. Aprior finds some rules and Fpgrowth find no rule!! Why this happened? My Data set Preprocessing: Numeric to nominal
Jj It is small partition of this Qusetion: Hide Copy Code The action or practice of selling additional products or services to existing customers is called cross-selling. Giving product recommendation is one of the examples of cross-selling that are frequently used by online retailers. One simple method to give product recommendations is to recommend products that are frequently browsed together by the customers. Suppose we want to recommend new products to the customer based on the products they have already browsed on the online website. With a Tool using the A-priori algorithm & FP-Growth to find products which are frequently browsed together.
Just change positiveIndex parameter to 1. It will work!