NDLI: J-Distance Discord: An Improved Time Series Discord Definition and Discovery Method

Content Provider	IEEE Xplore Digital Library
Author	Tian Huang Yongxin Zhu Yafei Wu Weiwei Shi
Copyright Year	2015
Description	Author affiliation: Shanghai Jiao Tong Univ., Shanghai, China (Tian Huang; Yongxin Zhu; Yafei Wu; Weiwei Shi)
Abstract	A time series discord is a subsequence that is maximally different to all the rest subsequences of a longer time series. Classic discord discovery has been used for detecting anomalous or interesting pattern, which usually represents the most unusual subsequences within a time series. However, an anomalous or interesting pattern may happen twice or more times so that any instance of this pattern is not distinct enough to be a top discord. To mitigate the issue, we propose an improved definition named J-distance discord (JDD), which incorporates the methodologies of KNN (k nearest neighbor) algorithm. JDD measures the similarity between a subsequence and its Jth most similar subsequence and ranks discords according to the similarity. We also propose a JDD discovery method to reduce the extra computational requirements brought by JDD definition. Experiments on synthetic and real world datasets show that JDD captures more de-facto anomalous and interesting patterns compared to the results of the original definition of discord. Besides, the JDD discovery method is as fast as the classic discord discovery method in terms of computational efficiency.
Starting Page	303
Ending Page	310
File Size	630730
Page Count	8
File Format	PDF
ISSN	23759259
e-ISBN	9781467384933
DOI	10.1109/ICDMW.2015.120
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Conferences Time series analysis Electrocardiography Data mining Indexes Computational complexity Heart rate variability
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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