International Journal of Engineering Research and Development (IJERD)
Conventional association rules mining cannot satisfy the demands emerging from certain real applications. By regarding the diverse values of distinct items as utilities, utility mining concentrates on discovering the item sets with high utilities. In recent times, high utility pattern mining is one of the most significant research issues in data mining because of its ability to account for the non-binary frequency values of items in transactions and diverse profit values of each item. In this paper, the authors have presented an efficient tree structure for mining of high utility item sets.