3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.DB2023★ 2 cited
Targeted Mining of Top-k High Utility Itemsets
Shan Huang, Wensheng Gan, Jinbao Miao +2
Finding high-importance patterns in data is an emerging data mining task known as High-utility itemset mining (HUIM). Given a minimum utility threshold, a HUIM algorithm extracts a…
cs.DB2022★ 3 cited
Towards Target High-Utility Itemsets
Jinbao Miao, Wensheng Gan, Shicheng Wan +2
For applied intelligence, utility-driven pattern discovery algorithms can identify insightful and useful patterns in databases. However, in these techniques for pattern discovery,…
cs.DB2021
TargetUM: Targeted High-Utility Itemset Querying
Jinbao Miao, Shicheng Wan, Wensheng Gan +2
Traditional high-utility itemset mining (HUIM) aims to determine all high-utility itemsets (HUIs) that satisfy the minimum utility threshold (\textit{minUtil}) in transaction datab…