Title: A survey on time series motif discovery

Authors: Cao Duy Truong; Duong Tuan Anh

Addresses: Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology, 268 Ly Thuong Kiet, District 10, Ho Chi Minh City, Vietnam ' Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology, 268 Ly Thuong Kiet, District 10, Ho Chi Minh City, Vietnam

Abstract: Time series motifs are repeated subsequences in a long time series. Discovering time series motifs is an important task in time series data mining and this problem has received significant attention from researchers in data mining communities. In this paper, we intend to provide a comprehensive survey of the techniques applied for time series motif discovery. The survey also briefly describes a set of applications of time series motif in various domains as well as in high-level time series data mining tasks. We hope that this article can provide a broad and deep understanding of the time series motif discovery field.

Keywords: time series; motif discovery; window-based; segmentation-based; motif applications.

DOI: 10.1504/IJBIDM.2019.101266

International Journal of Business Intelligence and Data Mining, 2019 Vol.15 No.2, pp.204 - 227

Received: 06 Mar 2017
Accepted: 03 May 2017

Published online: 31 May 2019 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article