Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases

@article{Tseng2013EfficientAF,
  title={Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases},
  author={Vincent S. Tseng and Bai-En Shie and Cheng-Wei Wu and Philip S. Yu},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2013},
  volume={25},
  pages={1772-1786}
}
Mining high utility itemsets from a transactional database refers to the discovery of itemsets with high utility like profits. Although a number of relevant algorithms have been proposed in recent years, they incur the problem of producing a large number of candidate itemsets for high utility itemsets. Such a large number of candidate itemsets degrades the mining performance in terms of execution time and space requirement. The situation may become worse when the database contains lots of long… CONTINUE READING
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