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.
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 *