2 papers
cs.LG2025
An Integrated Fusion Framework for Ensemble Learning Leveraging Gradient Boosting and Fuzzy Rule-Based Models
Jinbo Li, Peng Liu, Long Chen +2
The integration of different learning paradigms has long been a focus of machine learning research, aimed at overcoming the inherent limitations of individual methods. Fuzzy rule-b…
cs.DB2024
Incremental high average-utility itemset mining: survey and challenges
Jing Chen, Shengyi Yang, Weiping Ding +4
The High Average Utility Itemset Mining (HAUIM) technique, a variation of High Utility Itemset Mining (HUIM), uses the average utility of the itemsets. Historically, most HAUIM alg…