6 citations · 15 across the 9 of their papers we have counts for
8 papers · 1 filter
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…
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…