10.1k citations · 21.9k across the 280 of their papers we have counts for
15 papers · 1 filter
HUSP-SP: Faster Utility Mining on Sequence Data
Chunkai Zhang, Yuting Yang, Zilin Du +2
High-utility sequential pattern mining (HUSPM) has emerged as an important topic due to its wide application and considerable popularity. However, due to the combinatorial explosio…
Towards Sequence Utility Maximization under Utility Occupancy Measure
Gengsen Huang, Wensheng Gan, Philip S. Yu
The discovery of utility-driven patterns is a useful and difficult research topic. It can extract significant and interesting information from specific and varied databases, increa…
Big Data Meets Metaverse: A Survey
Jiayi Sun, Wensheng Gan, Zefeng Chen +2
We are living in the era of big data. The Metaverse is an emerging technology in the future, and it has a combination of big data, AI (artificial intelligence), VR (Virtual Reality…
Mitigating Health Disparities in EHR via Deconfounder
Zheng Liu, Xiaohan Li, Philip Yu
Health disparities, or inequalities between different patient demographics, are becoming crucial in medical decision-making, especially in Electronic Health Record (EHR) predictive…
Contrast Pattern Mining: A Survey
Yao Chen, Wensheng Gan, Yongdong Wu +1
Contrast pattern mining (CPM) is an important and popular subfield of data mining. Traditional sequential patterns cannot describe the contrast information between different classe…
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…