Mining On-shelf High-utility Quantitative Itemsets-Reference-Cited by-同舟云学术

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Mining On-shelf High-utility Quantitative Itemsets

Published:2021-12-15 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Big Data (Big Data)
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Author:

Chen Lili,Gan Wensheng,Lin Qi,Miao Jinbao,Chen Chien-Ming

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9671263/9671273/09672021.pdf?arnumber=9672021

Reference35 articles.

1. OSUMI: On-Shelf Utility Mining from Itemset-based Data

2. An efficient algorithm for mining top-k on-shelf high utility itemsets

3. FHM: Faster high-utility itemset mining using estimated utility co-occurrence pruning;fournier-viger;International Symposium on Methodologies for Intelligent Systems,2014

4. FOSHU

5. TopHUI: Top-k high-utility itemset mining with negative utility

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