Finding time series discord based on bit representation clustering-Reference-Cited by-同舟云学术

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Finding time series discord based on bit representation clustering

Published:2013-12 Issue: Volume:54 Page:243-254
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Li Guiling,Bräysy Olli,Jiang Liangxiao,Wu Zongda,Wang Yuanzhen

Funder

National Natural Science Foundation of China

Program for New Century Excellent Talents in University

Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan)

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference22 articles.

1. HOT SAX: efficiently finding the most unusual time series subsequence;Keogh,2005

2. Finding time series discords based on Harr transform;Fu,2006

3. WAT: finding top-K discords in time series database;Bu,2007

4. SAXually explicit images: finding unusual shapes;Li,2006

5. Disk aware discord discovery: finding unusual time series in terabyte sized datasets;Yankov,2007

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