2 citations · 4 across the 8 of their papers we have counts for
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cs.DB2021★ 1 cited
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…
cs.DB2018
High-utility itemset mining for subadditive monotone utility functions
Siddharth Dawar, Debajyoti Bera, Vikram Goyal
High-utility Itemset Mining (HUIM) finds itemsets from a transaction database with utility no less than a user-defined threshold where the utility of an itemset is defined as the s…