Mining High Utility Itemset with Multiple Minimum Utility Thresholds Based on Utility Deviation-Reference-Cited by-同舟云学术

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Mining High Utility Itemset with Multiple Minimum Utility Thresholds Based on Utility Deviation

Published:2022-11 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Data Mining Workshops (ICDMW)
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Author:

Alhusaini Naji¹,Li Jing²,Fournier-Viger Philippe³,Hawbani Ammar²,Chen Guilin¹

Affiliation:

1. School of Computer and Information Engineering. Chuzhou University,Chuzhou,China

2. School of Computer Since and Technology University of Since and Technology of China,Hefei,China

3. College of Computer Science and Software Engineering Shenzhen University,Shenzhen,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10029378/10029381/10031045.pdf?arnumber=10031045

Reference25 articles.

1. Efficient mining of high utility itemsets with multiple minimum utility thresholds

2. Efficient mining of high utility itemsets with multiple minimum utility thresholds

3. An effective tree structure for mining high utility itemsets

4. An efficient projection-based indexing approach for mining high utility itemsets

5. Novel techniques to reduce search space in multiple minimum supports-based frequent pattern mining algorithms

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. New approaches for mining high utility itemsets with multiple utility thresholds;Applied Intelligence;2023-12-19

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