Online pattern recognition in subsequence time series clustering

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.

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Subsequence time series clustering, pattern recognition, time series, subsequence time series
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Mr. Mohd Samsul Ismail
Date Deposited: 11 Mar 2015 01:02
Last Modified: 11 Mar 2015 01:02
URI: http://eprints.um.edu.my/id/eprint/12985

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