66 citations · 130 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
FUIM: Fuzzy Utility Itemset Mining
Shicheng Wan, Wensheng Gan, Xu Guo +2
Because of usefulness and comprehensibility, fuzzy data mining has been extensively studied and is an emerging topic in recent years. Compared with utility-driven itemset mining te…
THUE: Discovering Top-K High Utility Episodes
Shicheng Wan, Jiahui Chen, Wensheng Gan +2
Episode discovery from an event is a popular framework for data mining tasks and has many real-world applications. An episode is a partially ordered set of objects (e.g., item, nod…
TOPIC: Top-k High-Utility Itemset Discovering
Jiahui Chen, Shicheng Wan, Wensheng Gan +2
Utility-driven itemset mining is widely applied in many real-world scenarios. However, most algorithms do not work for itemsets with negative utilities. Several efficient algorithm…