Author(s)

Yeping Peng

Corresponding Author

Yeping Peng

Abstract

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.

Keywords

Periodic pattern mining, Periodic length, Mining Algorithm