6 citations · 9 across the 6 of their papers we have counts for
8 papers
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…
Utility-driven Mining of Contiguous Sequences
Chunkai Zhang, Quanjian Dai, Zilin Du +3
Recently, contiguous sequential pattern mining (CSPM) gained interest as a research topic, due to its varied potential real-world applications, such as web log and biological seque…
TUSQ: Targeted High-Utility Sequence Querying
Chunkai Zhang, Zilin Du, Quanjian Dai +3
Significant efforts have been expended in the research and development of a database management system (DBMS) that has a wide range of applications for managing an enormous collect…
Explainable Fuzzy Utility Mining on Sequences
Wensheng Gan, Zilin Du, Weiping Ding +2
Fuzzy systems have good modeling capabilities in several data science scenarios, and can provide human-explainable intelligence models with explainability and interpretability. In…
On-shelf Utility Mining of Sequence Data
Chunkai Zhang, Zilin Du, Yuting Yang +2
Utility mining has emerged as an important and interesting topic owing to its wide application and considerable popularity. However, conventional utility mining methods have a bias…
TKUS: Mining Top-K High-Utility Sequential Patterns
Chunkai Zhang, Zilin Du, Wensheng Gan +1
High-utility sequential pattern mining (HUSPM) has recently emerged as a focus of intense research interest. The main task of HUSPM is to find all subsequences, within a quantitati…