The essential aspect of mining association rules is to mine the frequent patterns. Due to native difficulty it is impossible to mine complete frequent patterns from a dense database. FPgrowth algorithm has been implemented using an Array-based structure, known as the FP-tree,which is for storing compressed frequency information. Numerous experimental results have demonstrated that the algorithm...

Frequent-Pattern Tree (FP-Tree) algorithm plays a vital role in mining associations, patterns and other data mining related jobs. Currently a software risk mitigation intelligent decision network engine using rule based technique has been designed against software risk factors. A novel idea of finding the associations between different software risk mitigation factors using FP-Tree algorithm ha...

Frequent item sets mining from the transaction dataset is one of the most challenging problems in data mining approaches. In many real world scenarios, the information is not extracted from a single data source, but from distributed and heterogeneous ones. Therefore, the discovered knowledge in this paper is generating association rules using frequent pattern growth algorithms for transactional...