700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ ReadersThis Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
Research Article Open Access
Frequent pattern mining is one of the most common mining techniques to identify the frequent patterns in large data sets. The Apriori algorithm is one algorithm very efficient for mining frequent patterns. But the drawback is it generates a number of candidate item sets. The FP tree is a frequent pattern technique without candidate item set generation. We have proposed an approach for improving the performance of the FP tree using the parameter average support count.