Ordering And Suggesting Popular Itemsets In Pharmacy Using Modified Apriori Algorithm

Abstract: We considered the problem of ranking the popularity of items and suggesting popular items based on user feedback. User feedback is obtained by iteratively presenting a set of suggested items, and users selecting items based on their own preferences either the true popularity ranking of items, and suggest true popular items. We consider Apriori algorithm with some modifications overcoming the complexity that has been seen in other randomized algorithms. The most effective feature of this approach is that it reduces the number of database scans and complexity.