计算机工程与应用2024，Vol.60Issue(17)：48-61,14.DOI:10.3778/j.issn.1002-8331.2403-0114
频繁时序模式挖掘方法综述
Review of Frequent Temporal Pattern Mining Methods
摘要
Abstract
Frequent temporal pattern mining refers to the process of discovering frequently occurring patterns or patterns from time series data.Its purpose is to help understand important features in time series data,such as periodicity,trends,and anomalies,which can help predict future development trends and identify abnormal situations.Based on literature research on frequent temporal pattern mining methods in recent years,they are divided into three categories according to key technologies and representative algorithms,namely structural constraint based frequent temporal pattern mining methods,parameter constraint based frequent temporal pattern mining methods,and window based frequent temporal pattern mining methods.Firstly,the background of frequent temporal pattern mining methods and the characteristics of each method are described.Secondly,the development and classification of three mining methods are introduced,and a detailed compara-tive analysis is conducted on the advantages,disadvantages,and performance of each improved method.Finally,the fre-quent temporal pattern mining methods are summarized and summarized,and the future research directions of frequent temporal pattern mining methods are discussed.关键词
时序数据/频繁时序模式/结构约束/参数约束/窗口/数据挖掘Key words
time series data/frequent temporal patterns/structural constraints/parameter constraints/window/data mining分类
信息技术与安全科学引用本文复制引用
唐增金,徐贞顺,苏梦瑶,刘纳,王振彪,张文豪..频繁时序模式挖掘方法综述[J].计算机工程与应用,2024,60(17):48-61,14.基金项目
宁夏自然科学基金(2021AAC03217,2021AAC03224) （2021AAC03217,2021AAC03224）
北方民族大学研究生创新项目(YCX23162). （YCX23162）
