I have purchasing history data for grocery shopping. I am trying to get abnormally frequently purchased items under certain conditions. For instance, I am trying to find frequently purchased items, when customers shop online and are willing to pay an extra shipping fee.
In order to find items that are particularly (or abnormally) frequently purchased under that situation (through online stores by paying shipping fee), how and what Machine Learning Algorithm should I apply and identify those items?
arules R package which is using the association rules with purchasing history and tried to apply it. But it seems the package might be based on different principle from my idea.
Anyone has an idea about my problem? If there is an R package related to the problem, it would be perfect.