Interactive Representation of Closed+ High Utility Itemsets using Hadoop

In the past few years a large numbers of algorithms have been design to mining a high utility itemsets from a database. The problem of all those algorithms is to produce a large numbers of high utility itemsets which downgrades the performance of mining process. To reach the high performance for mining the task we design a novel framework in this paper for provides the mining Closed+ high utility mining itemsets (CHUI), which gives the meaningful representation of HUIs. The already existing designed algorithm named CHUD (Closed+ High Utility itemsets Discovery) to find concise representation is further enhanced by implementing the CHUD based on pattern generated from FP algorithm in Hadoop, so system with less data set which required more memory can be analyzed in low memory based system with the help of distributed file system. A DAHU (Drive All High Utility Itemstes) method is introduce to retrieve all HUIs from set of CHUIs without accessing original databases.