An Analysis of Algorithms for Periodic Pattern Mining in Time Series

摘要：

　　Periodic pattern mining in time series is of great practical significance to scientific research and practical application as it is beneficial to improve prediction and trend analysis.Current algorithms for periodic pattern mining in time series can be divided into three categories according to whether the parameters of periodic length are known or not.This paper discusses the specific classification of periodic patterns and summarizes advantages and disadvantages of these algorithms,with a purpose to provide reference for the practical application of these algorithms.

关键词： Periodic pattern mining Periodic length Mining Algorithm

作者: Yeping Peng

作者单位: Software College of Jishou University,Zhangjiajie,Hunan Province,China

会议类型: 国际会议

会议名称: 2019年第二届智能系统研究与机电工程国际会议(ISRME 2019) 2019 2nd International Conference on Intelligent Systems Research and Mechatronics Engineering

会议地点: 太原

会议语种:英文

页码: 354-357

在线出版日期: 2019-06-29（万方平台首次上网日期，不代表论文的发表时间）