91 citations · 181 across the 16 of their papers we have counts for
6 papers · 1 filter
MDL-based Compressing Sequential Rules
Xinhong Chen, Wensheng Gan, Shicheng Wan +1
Nowadays, with the rapid development of the Internet, the era of big data has come. The Internet generates huge amounts of data every day. However, extracting meaningful informatio…
Metaverse in Education: Vision, Opportunities, and Challenges
Hong Lin, Shicheng Wan, Wensheng Gan +2
Traditional education has been updated with the development of information technology in human history. Within big data and cyber-physical systems, the Metaverse has generated stro…
A Generic Algorithm for Top-K On-Shelf Utility Mining
Jiahui Chen, Xu Guo, Wensheng Gan +2
On-shelf utility mining (OSUM) is an emerging research direction in data mining. It aims to discover itemsets that have high relative utility in their selling time period. Compared…
Itemset Utility Maximization with Correlation Measure
Jiahui Chen, Yixin Xu, Shicheng Wan +2
As an important data mining technology, high utility itemset mining (HUIM) is used to find out interesting but hidden information (e.g., profit and risk). HUIM has been widely appl…
Temporal Fuzzy Utility Maximization with Remaining Measure
Shicheng Wan, Zhenqiang Ye, Wensheng Gan +1
High utility itemset mining approaches discover hidden patterns from large amounts of temporal data. However, an inescapable problem of high utility itemset mining is that its disc…
Towards Target High-Utility Itemsets
Jinbao Miao, Wensheng Gan, Shicheng Wan +2
For applied intelligence, utility-driven pattern discovery algorithms can identify insightful and useful patterns in databases. However, in these techniques for pattern discovery,…