摘要
给出了频繁项集和滑动窗口的相关定义,根据数据流中不同的时序范围对数据流模型进行了分类,从数据处理模型的角度对滑动窗口进行了分类。分析了典型的频繁项集挖掘算法中滑动窗口的使用方法,总结了各模型中典型频繁项集挖掘算法的挖掘技术和效率。
Definitions of frequent item-sets and sliding windows are given here.Data flow models are classified based on series in data stream.Sliding windows are categorized based on data processing model.Applications of sliding windows in typical frequent item-sets mining algorithms are analyzed.Finally,mining techniques and efficiency of typical frequent item-sets mining algorithms are discussed for each model.
出处
《长春工业大学学报》
CAS
2017年第5期484-490,共7页
Journal of Changchun University of Technology
基金
吉林省科技厅发展计划基金资助项目(20160415013JH)
关键词
数据流
频繁项集
滑动窗口
数据处理模型
data stream
frequent item-sets
sliding window
data processing model
