Efficient mining high utility item sets from transactional databases using up-growth and up-growth+ algorithm
One of the important research area in data mining is high utility pattern mining. Discovering item sets with high utility like profit from database is known as high utility item set mining. There are number of existing algorithms have been work on this issue. Some of them incurs problem of generating large number of candidate item sets. This leads to degrade the performance of mining in case of execution time and space. In this paper we have focus on UP-Growth and UP-Growth+ algorithm which overcomes this limitation.