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@article{ART002952530},
author={Sung-Kyu Hong and Sang-Chul Kim},
title={Analyzing performance of time series classification using STFT and time series imaging algorithms},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2023},
volume={28},
number={4},
pages={1-11},
doi={10.9708/jksci.2023.28.04.001}

TY - JOUR
AU - Sung-Kyu Hong
AU - Sang-Chul Kim
TI - Analyzing performance of time series classification using STFT and time series imaging algorithms
JO - Journal of The Korea Society of Computer and Information
PY - 2023
VL - 28
IS - 4
PB - The Korean Society Of Computer And Information
SP - 1
EP - 11
SN - 1598-849X
AB - In this paper, instead of using recurrent neural network, we compare a classification performance of time series imaging algorithms using convolution neural network. There are traditional algorithms that imaging time series data (e.g. GAF(Gramian Angular Field), MTF(Markov Transition Field), RP(Recurrence Plot)) in TSC(Time Series Classification) community. Furthermore, we compare STFT(Short Time Fourier Transform) algorithm that can acquire spectrogram that visualize feature of voice data. We experiment CNN’s performance by adjusting hyper parameters of imaging algorithms. When evaluate with GunPoint dataset in UCR archive, STFT(Short-Time Fourier transform) has higher accuracy than other algorithms. GAF has 98~99% accuracy either, but there is a disadvantage that size of image is massive.
KW - Time Series Data;GAF;MTF;RP;STFT;Spectrogram;CNN
DO - 10.9708/jksci.2023.28.04.001
ER -

Sung-Kyu Hong and Sang-Chul Kim. (2023). Analyzing performance of time series classification using STFT and time series imaging algorithms. Journal of The Korea Society of Computer and Information, 28(4), 1-11.

Sung-Kyu Hong and Sang-Chul Kim. 2023, "Analyzing performance of time series classification using STFT and time series imaging algorithms", Journal of The Korea Society of Computer and Information, vol.28, no.4 pp.1-11. Available from: doi:10.9708/jksci.2023.28.04.001

Sung-Kyu Hong, Sang-Chul Kim "Analyzing performance of time series classification using STFT and time series imaging algorithms" Journal of The Korea Society of Computer and Information 28.4 pp.1-11 (2023) : 1.

Sung-Kyu Hong, Sang-Chul Kim. Analyzing performance of time series classification using STFT and time series imaging algorithms. 2023; 28(4), 1-11. Available from: doi:10.9708/jksci.2023.28.04.001

Sung-Kyu Hong and Sang-Chul Kim. "Analyzing performance of time series classification using STFT and time series imaging algorithms" Journal of The Korea Society of Computer and Information 28, no.4 (2023) : 1-11.doi: 10.9708/jksci.2023.28.04.001

Sung-Kyu Hong; Sang-Chul Kim. Analyzing performance of time series classification using STFT and time series imaging algorithms. Journal of The Korea Society of Computer and Information, 28(4), 1-11. doi: 10.9708/jksci.2023.28.04.001

Sung-Kyu Hong; Sang-Chul Kim. Analyzing performance of time series classification using STFT and time series imaging algorithms. Journal of The Korea Society of Computer and Information. 2023; 28(4) 1-11. doi: 10.9708/jksci.2023.28.04.001

Sung-Kyu Hong, Sang-Chul Kim. Analyzing performance of time series classification using STFT and time series imaging algorithms. 2023; 28(4), 1-11. Available from: doi:10.9708/jksci.2023.28.04.001

Sung-Kyu Hong and Sang-Chul Kim. "Analyzing performance of time series classification using STFT and time series imaging algorithms" Journal of The Korea Society of Computer and Information 28, no.4 (2023) : 1-11.doi: 10.9708/jksci.2023.28.04.001