5 papers
Mining Negative Sequential Patterns to Improve Viral Genomic Feature Representation and Classification
Wenxi Zhu, Wensheng Gan, Zhenlian Qi
Viruses represent the most abundant biological entities on Earth and play a pivotal role in microbial ecosystems, yet, as prominent human pathogens, they are closely linked to huma…
Efficient Mining of Low-Utility Sequential Patterns
Jian Zhu, Zhidong Lin, Wensheng Gan +1
Discovering valuable insights from rich data is a crucial task for exploratory data analysis. Sequential pattern mining (SPM) has found widespread applications across various domai…
Graph-Based Fraud Detection with Dual-Path Graph Filtering
Wei He, Wensheng Gan, Philip S. Yu
Fraud detection on graph data can be viewed as a demanding task that requires distinguishing between different types of nodes. Because graph neural networks (GNNs) are naturally su…
Targeted Sequential Pattern Mining with High Average Utility
Kai Cao, Yucong Duan, Wensheng Gan
Incorporating utility into targeted pattern mining can address the practical limitations of traditional frequency-based approaches. However, utility-based methods often suffer from…
Dual Pruning and Sorting-Free Overestimation for Average-Utility Sequential Pattern Mining
Kai Cao, Yucong Duan, Wensheng Gan
In a quantitative sequential database, numerous efficient algorithms have been developed for high-utility sequential pattern mining (HUSPM). HUSPM establishes a relationship betwee…