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@article{ART002596610},
author={JunHyung BYUN and KimJiho and Young-Jin Cho and LEE, Hong Chul},
title={Movie Box-office Prediction using Deep Learning and Feature Selection : Focusing on Multivariate Time Series},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2020},
volume={25},
number={6},
pages={35-47},
doi={10.9708/jksci.2020.25.06.035}

TY - JOUR
AU - JunHyung BYUN
AU - KimJiho
AU - Young-Jin Cho
AU - LEE, Hong Chul
TI - Movie Box-office Prediction using Deep Learning and Feature Selection : Focusing on Multivariate Time Series
JO - Journal of The Korea Society of Computer and Information
PY - 2020
VL - 25
IS - 6
PB - The Korean Society Of Computer And Information
SP - 35
EP - 47
SN - 1598-849X
AB - Box-office prediction is important to movie stakeholders. It is necessary to accurately predict box-office and select important variables. In this paper, we propose a multivariate time series classification and important variable selection method to improve accuracy of predicting the box-office. As a research method, we collected daily data from KOBIS and NAVER for South Korean movies, selected important variables using Random Forest and predicted multivariate time series using Deep Learning. Based on the Korean screen quota system, Deep Learning was used to compare the accuracy of box-office predictions on the 73rd day from movie release with the important variables and entire variables, and the results was tested whether they are statistically significant. As a Deep Learning model, Multi-Layer Perceptron, Fully Convolutional Neural Networks, and Residual Network were used. Among the Deep Learning models, the model using important variables and Residual Network had the highest prediction accuracy at 93%.
KW - Box-office Prediction;Feature Selection;Multivariate Time Series Classification;Random Forest;Deep Learning;Multi-Layer Perceptron;Fully Convolutional Neural Networks;Residual Network
DO - 10.9708/jksci.2020.25.06.035
ER -

JunHyung BYUN, KimJiho, Young-Jin Cho and LEE, Hong Chul. (2020). Movie Box-office Prediction using Deep Learning and Feature Selection : Focusing on Multivariate Time Series. Journal of The Korea Society of Computer and Information, 25(6), 35-47.

JunHyung BYUN, KimJiho, Young-Jin Cho and LEE, Hong Chul. 2020, "Movie Box-office Prediction using Deep Learning and Feature Selection : Focusing on Multivariate Time Series", Journal of The Korea Society of Computer and Information, vol.25, no.6 pp.35-47. Available from: doi:10.9708/jksci.2020.25.06.035

JunHyung BYUN, KimJiho, Young-Jin Cho, LEE, Hong Chul "Movie Box-office Prediction using Deep Learning and Feature Selection : Focusing on Multivariate Time Series" Journal of The Korea Society of Computer and Information 25.6 pp.35-47 (2020) : 35.

JunHyung BYUN, KimJiho, Young-Jin Cho, LEE, Hong Chul. Movie Box-office Prediction using Deep Learning and Feature Selection : Focusing on Multivariate Time Series. 2020; 25(6), 35-47. Available from: doi:10.9708/jksci.2020.25.06.035

JunHyung BYUN, KimJiho, Young-Jin Cho and LEE, Hong Chul. "Movie Box-office Prediction using Deep Learning and Feature Selection : Focusing on Multivariate Time Series" Journal of The Korea Society of Computer and Information 25, no.6 (2020) : 35-47.doi: 10.9708/jksci.2020.25.06.035

JunHyung BYUN; KimJiho; Young-Jin Cho; LEE, Hong Chul. Movie Box-office Prediction using Deep Learning and Feature Selection : Focusing on Multivariate Time Series. Journal of The Korea Society of Computer and Information, 25(6), 35-47. doi: 10.9708/jksci.2020.25.06.035

JunHyung BYUN; KimJiho; Young-Jin Cho; LEE, Hong Chul. Movie Box-office Prediction using Deep Learning and Feature Selection : Focusing on Multivariate Time Series. Journal of The Korea Society of Computer and Information. 2020; 25(6) 35-47. doi: 10.9708/jksci.2020.25.06.035

JunHyung BYUN, KimJiho, Young-Jin Cho, LEE, Hong Chul. Movie Box-office Prediction using Deep Learning and Feature Selection : Focusing on Multivariate Time Series. 2020; 25(6), 35-47. Available from: doi:10.9708/jksci.2020.25.06.035

JunHyung BYUN, KimJiho, Young-Jin Cho and LEE, Hong Chul. "Movie Box-office Prediction using Deep Learning and Feature Selection : Focusing on Multivariate Time Series" Journal of The Korea Society of Computer and Information 25, no.6 (2020) : 35-47.doi: 10.9708/jksci.2020.25.06.035