1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.DB2026
High-utility Sequential Rule Mining Utilizing Segmentation Guided by Confidence
Chunkai Zhang, Jiarui Deng, Maohua Lyu +2
Within the domain of data mining, one critical objective is the discovery of sequential rules with high utility. The goal is to discover sequential rules that exhibit both high uti…
cs.AI2023
Discovering Utility-driven Interval Rules
Chunkai Zhang, Maohua Lyu, Huaijin Hao +2
For artificial intelligence, high-utility sequential rule mining (HUSRM) is a knowledge discovery method that can reveal the associations between events in the sequences. Recently,…
cs.AI2022★ 1 cited
Totally-ordered Sequential Rules for Utility Maximization
Chunkai Zhang, Maohua Lyu, Wensheng Gan +1
High utility sequential pattern mining (HUSPM) is a significant and valuable activity in knowledge discovery and data analytics with many real-world applications. In some cases, HU…