6 citations · 15 across the 10 of their papers we have counts for
10 papers
Guided Exploration of Sequential Rules
Wensheng Gan, Gengsen Huang, Junyu Ren +1
In pattern mining, sequential rules provide a formal framework to capture the temporal relationships and inferential dependencies between items. However, the discovery process is c…
Discovering High-utility Sequential Rules with Increasing Utility Ratio
Zhenqiang Ye, Wensheng Gan, Gengsen Huang +2
Utility-driven mining is an essential task in data science, as it can provide deeper insight into the real world. High-utility sequential rule mining (HUSRM) aims at discovering se…
TALENT: Targeted Mining of Non-overlapping Sequential Patterns
Zefeng Chen, Wensheng Gan, Gengsen Huang +3
With the widespread application of efficient pattern mining algorithms, sequential patterns that allow gap constraints have become a valuable tool to discover knowledge from biolog…
Towards Top- Non-Overlapping Sequential Patterns
Zefeng Chen, Wensheng Gan, Gengsen Huang +2
Sequential pattern mining (SPM) has excellent prospects and application spaces and has been widely used in different fields. The non-overlapping SPM, as one of the data mining tech…
Privacy-Preserving Federated Discovery of DNA Motifs with Differential Privacy
Yao Chen, Wensheng Gan, Gengsen Huang +2
DNA motif discovery is an important issue in gene research, which aims to identify transcription factor binding sites (i.e., motifs) in DNA sequences to reveal the mechanisms that…
Federated Learning for Metaverse: A Survey
Yao Chen, Shan Huang, Wensheng Gan +2
The metaverse, which is at the stage of innovation and exploration, faces the dilemma of data collection and the problem of private data leakage in the process of development. This…
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…
Towards Target Sequential Rules
Wensheng Gan, Gengsen Huang, Jian Weng +2
In many real-world applications, sequential rule mining (SRM) can provide prediction and recommendation functions for a variety of services. It is an important technique of pattern…
TaSPM: Targeted Sequential Pattern Mining
Gengsen Huang, Wensheng Gan, Philip S. Yu
Sequential pattern mining (SPM) is an important technique of pattern mining, which has many applications in reality. Although many efficient sequential pattern mining algorithms ha…
US-Rule: Discovering Utility-driven Sequential Rules
Gengsen Huang, Wensheng Gan, Jian Weng +1
Utility-driven mining is an important task in data science and has many applications in real life. High utility sequential pattern mining (HUSPM) is one kind of utility-driven mini…