燕山大学学报2024，Vol.48Issue(2)：138-156,19.DOI:10.3969/j.issn.1007-791X.2024.02.005
衍生高效用模式挖掘算法综述
Survey of derived high utility pattern mining algorithms
摘要
Abstract
In the field of data mining,the task of high utility pattern mining has a high theoretical research value and a wide range of practical application scenarios.A series of derived high utility patterns are proposed for variable applications.Firstly,the high average utility pattern mining algorithms are discussed from the perspective of key technologies,mainly including Apriori-based,tree-based,list-based,projection-based and data structure-based algorithms.Secondly,high utility pattern mining algorithms containing negative utility based on complete set,concise set and integrated pattern are analytically discussed.Then,the extended high utility pattern algorithms are outlined and summarized from three aspects,including fuzzy high utility patterns,correlated high utility patterns and other emerging high utility patterns.Finally,in view of the shortcomings of the current research direction,the next research directions are given.关键词
衍生高效用模式/高平均效用模式/负效用/模糊高效用模式/相关高效用模式/综述Key words
derived high utility pattern/high average utility pattern/negative utility/fuzzy high utility pattern/correlated high utility pattern/survey分类
信息技术与安全科学引用本文复制引用
刘淑娟,韩萌,高智慧,穆栋梁,李昂..衍生高效用模式挖掘算法综述[J].燕山大学学报,2024,48(2):138-156,19.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(2022AAC03279) （2022AAC03279）
