Абстрактный

Systolic Tree Algorithms for Discovering High Utility Itemsets from Transactional Databases

B.Shibi

Utility mining emerges as an important topic in data mining field. Here high utility item sets mining refers to importance or profitability of an item to users. Efficient mining of high utility itemsets plays an important role in many real-life applications and is an important research issue in data mining area. Number of Algorithms utility pattern growth (UP-Growth) and UP-Growth+,.( A data structure having tree like structure named utility pattern tree (UP-Tree)) is used for storing the information about high utility itemset such that by using only double scanning of database, candidate itemsets can be efficiently generate. But that will lead to high requirement of space and time and so that performance will be less. So a new algorithm is proposed in this paper, for efficient discovering of high utility itemsets from transactional database.