Flexible Shapelets Discovery for Time Series Classification

Cai, Borui, Huang, Guangyan, Angelova Turkedjieva, Maia, Xiang, Yong and Chi, C.H. 2020, Flexible Shapelets Discovery for Time Series Classification, in ICDS 2019 : Data science : 6th International Conference, ICDS 2019, Ningbo, China, May 15-20, 2019, revised selected papers, Springer, Berlin, Germany, pp. 211-220, doi: 10.1007/978-981-15-2810-1_21.

Attached Files
Name Description MIMEType Size Downloads

Title Flexible Shapelets Discovery for Time Series Classification
Author(s) Cai, Borui
Huang, GuangyanORCID iD for Huang, Guangyan orcid.org/0000-0002-1821-8644
Angelova Turkedjieva, MaiaORCID iD for Angelova Turkedjieva, Maia orcid.org/0000-0002-0931-0916
Xiang, YongORCID iD for Xiang, Yong orcid.org/0000-0003-3545-7863
Chi, C.H.
Conference name Data Science. Conference (2019 : 6th : Ningbo, China)
Conference location Ningbo, China
Conference dates 15-20 May. 2019
Title of proceedings ICDS 2019 : Data science : 6th International Conference, ICDS 2019, Ningbo, China, May 15-20, 2019, revised selected papers
Publication date 2020
Series Communications in Computer and Information Science
Start page 211
End page 220
Total pages 10
Publisher Springer
Place of publication Berlin, Germany
Keyword(s) Time series
Classification
Shapelet discovery
ISBN 9789811528095
ISSN 1865-0929
1865-0937
Language eng
DOI 10.1007/978-981-15-2810-1_21
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30135660

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 1 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 88 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Thu, 19 Mar 2020, 08:41:44 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.