Document Type
Conference Item
Publication Date
12-1-2014
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.
Keywords
Subsequence time series clustering, pattern recognition, time series, subsequence time series
Divisions
fsktm
Event Title
Proceedings of the 3rd International Conference on Computer Engineering & Mathematical Sciences (ICCEMS 2014)
Event Location
Langkawi, Malaysia
Event Dates
04-05 Dec 2014
Event Type
conference