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Online pattern recognition in subsequence time series clustering

One of the open issues in the context of subsequence time series clustering is online pattern recognition. There are different fields in this clustering such as e-commerce, outlier detection, speech recognition, biological systems, DNA recognition, and text mining. Among these fields pattern recogn...

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Main Authors: Zolhavarieh, S., Aghabozorgi, S., Wah, T.Y.
Format: Conference or Workshop Item
Language:English
Published: 2014
Subjects:
T Technology (General)
Online Access:http://eprints.um.edu.my/12985/1/Online_Pattern_recognition.pdf
http://eprints.um.edu.my/12985/
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spelling my.um.eprints.129852015-03-11T01:02:35Z http://eprints.um.edu.my/12985/ Online pattern recognition in subsequence time series clustering Zolhavarieh, S. Aghabozorgi, S. Wah, T.Y. T Technology (General) One of the open issues in the context of subsequence time series clustering is online pattern recognition. There are different fields in this clustering such as e-commerce, outlier detection, speech recognition, biological systems, DNA recognition, and text mining. Among these fields pattern recognition is one the essential concept. To implement the idea of online pattern recognition, we choose sequences of ECG data as a subsequence time series data. Additionally, using ECG data can help to interpret heart activity for finding heart diseases. This paper will offer a way to generate online pattern recognition in subsequence time series clustering in order to have a runtime results. 2014-12 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.um.edu.my/12985/1/Online_Pattern_recognition.pdf Zolhavarieh, S. and Aghabozorgi, S. and Wah, T.Y. (2014) Online pattern recognition in subsequence time series clustering. In: Proceedings of the 3rd International Conference on Computer Engineering & Mathematical Sciences (ICCEMS 2014), 04-05 Dec 2014, Langkawi, Malaysia.
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Zolhavarieh, S.
Aghabozorgi, S.
Wah, T.Y.
Online pattern recognition in subsequence time series clustering
description One of the open issues in the context of subsequence time series clustering is online pattern recognition. There are different fields in this clustering such as e-commerce, outlier detection, speech recognition, biological systems, DNA recognition, and text mining. Among these fields pattern recognition is one the essential concept. To implement the idea of online pattern recognition, we choose sequences of ECG data as a subsequence time series data. Additionally, using ECG data can help to interpret heart activity for finding heart diseases. This paper will offer a way to generate online pattern recognition in subsequence time series clustering in order to have a runtime results.
format Conference or Workshop Item
author Zolhavarieh, S.
Aghabozorgi, S.
Wah, T.Y.
author_facet Zolhavarieh, S.
Aghabozorgi, S.
Wah, T.Y.
author_sort Zolhavarieh, S.
title Online pattern recognition in subsequence time series clustering
title_short Online pattern recognition in subsequence time series clustering
title_full Online pattern recognition in subsequence time series clustering
title_fullStr Online pattern recognition in subsequence time series clustering
title_full_unstemmed Online pattern recognition in subsequence time series clustering
title_sort online pattern recognition in subsequence time series clustering
publishDate 2014
url http://eprints.um.edu.my/12985/1/Online_Pattern_recognition.pdf
http://eprints.um.edu.my/12985/
_version_ 1643689430024716288
score 13.214268

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