计算机应用研究2024，Vol.41Issue(1)：94-101,8.DOI:10.19734/j.issn.1001-3695.2023.05.0198
HHUIM:一种新的启发式高效用项集挖掘方法
HHUIM:new heuristic high utility itemset mining method
摘要
Abstract
In response to the problem of potentially losing a large number of itemsets during the mining process of heuristic-based high utility itemset mining algorithms,this paper proposed a new heuristic-based high utility itemset mining algorithm,called HHUIM.HHUIM utilized the Harris hawk optimization algorithm for population update,effectively reducing the loss of itemsets.This paper also introduced and designed a hawk replacement strategy to solve the problem of a large search space by decreasing the number of hawks with fitness values below the minimum utility threshold.Furthermore,this paper proposed a storage backtracking strategy to prevent premature convergence to local optima.Extensive experiments demonstrate that the proposed algorithm outperforms the state-of-the-art heuristic-based high utility itemset mining algorithms.关键词
哈里斯鹰优化算法/高效用项集挖掘/启发式算法/智能优化算法Key words
Harris eagle optimization algorithm/high utility itemset mining/heuristics/intelligent optimization algorithms分类
信息技术与安全科学引用本文复制引用
高智慧,韩萌,李昂,刘淑娟,穆栋梁..HHUIM:一种新的启发式高效用项集挖掘方法[J].计算机应用研究,2024,41(1):94-101,8.基金项目
国家自然科学基金资助项目(62062004) （62062004）
宁夏自然科学基金资助项目(2023AAC03315) （2023AAC03315）
北方民族大学研究生创新项目(YCX23149) （YCX23149）
