Extracting texture feature for time series classification

Time series exists in many pattern recognition and prediction application in many different industrial fields, such as medicine, biology, economy and others. In this kind of a data analytical tasks, the classification phase is one of the most important phases as it allows us to assign a class to a p...

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Main Author: Chua, Kenneth Boon Chang
Other Authors: Deepu Rajan
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
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Online Access:https://hdl.handle.net/10356/138146
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1381462020-04-27T01:52:49Z Extracting texture feature for time series classification Chua, Kenneth Boon Chang Deepu Rajan School of Computer Science and Engineering asdrajan@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Pattern recognition Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Time series exists in many pattern recognition and prediction application in many different industrial fields, such as medicine, biology, economy and others. In this kind of a data analytical tasks, the classification phase is one of the most important phases as it allows us to assign a class to a previously unseen record as precise as possible. In classification, past researches have shown that rules such as the 1-Nearest Neighbour with a distance measure in time domain performs well in a wide variety of application domains. However, there are many time series that are not obvious in time domain. For instance, the classification of chainsaws where the feature that represents this time series would be frequency instead of time. For such classification, an alternative representation would be necessary. In this work, we will investigate the use of images for time series classification. In particularly, we extract texture features from recurrence plots as their graphical nature exposes a structural pattern in the data. Bachelor of Engineering (Computer Science) 2020-04-27T01:52:49Z 2020-04-27T01:52:49Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/138146 en SCSE19-0155 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
spellingShingle Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Chua, Kenneth Boon Chang
Extracting texture feature for time series classification
description Time series exists in many pattern recognition and prediction application in many different industrial fields, such as medicine, biology, economy and others. In this kind of a data analytical tasks, the classification phase is one of the most important phases as it allows us to assign a class to a previously unseen record as precise as possible. In classification, past researches have shown that rules such as the 1-Nearest Neighbour with a distance measure in time domain performs well in a wide variety of application domains. However, there are many time series that are not obvious in time domain. For instance, the classification of chainsaws where the feature that represents this time series would be frequency instead of time. For such classification, an alternative representation would be necessary. In this work, we will investigate the use of images for time series classification. In particularly, we extract texture features from recurrence plots as their graphical nature exposes a structural pattern in the data.
author2 Deepu Rajan
author_facet Deepu Rajan
Chua, Kenneth Boon Chang
format Final Year Project
author Chua, Kenneth Boon Chang
author_sort Chua, Kenneth Boon Chang
title Extracting texture feature for time series classification
title_short Extracting texture feature for time series classification
title_full Extracting texture feature for time series classification
title_fullStr Extracting texture feature for time series classification
title_full_unstemmed Extracting texture feature for time series classification
title_sort extracting texture feature for time series classification
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/138146
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