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Decomposition-integration-based prediction study on the development trend of film industry

Movies have the unique ability to both generate income and spread culture, thus predicting the direction of the film industry's growth has garnered a lot of interest. Given the volatility of the movie industry's entire box office revenue dataset and the peculiarities of tiny samples, this...

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Detalles Bibliográficos
Autores principales: Ni, Yuan, Li, Siyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10632694/
https://www.ncbi.nlm.nih.gov/pubmed/37954322
http://dx.doi.org/10.1016/j.heliyon.2023.e21211
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author Ni, Yuan
Li, Siyuan
author_facet Ni, Yuan
Li, Siyuan
author_sort Ni, Yuan
collection PubMed
description Movies have the unique ability to both generate income and spread culture, thus predicting the direction of the film industry's growth has garnered a lot of interest. Given the volatility of the movie industry's entire box office revenue dataset and the peculiarities of tiny samples, this article incorporates the decomposition-integration notion to build the EEMD-PSO-LSSVM model movie box office prediction model. The historical box office data are first broken down into many components using the ensemble empirical modal decomposition technique, and then, distinct sequences are predicted using the least squares support vector machine prediction method with particle swarm optimization, and ultimately, the predictions for each sequence are combined. The experimental results demonstrate the effectiveness of the decomposition-integration technique in illustrating the data fluctuation characteristics of quarterly movie box office revenues. When compared to other models, the model proposed in this study has clear advantages in the problem of predicting the time series data of box office revenues that are non-linear, non-smooth, and non-large samples.
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spelling pubmed-106326942023-11-10 Decomposition-integration-based prediction study on the development trend of film industry Ni, Yuan Li, Siyuan Heliyon Research Article Movies have the unique ability to both generate income and spread culture, thus predicting the direction of the film industry's growth has garnered a lot of interest. Given the volatility of the movie industry's entire box office revenue dataset and the peculiarities of tiny samples, this article incorporates the decomposition-integration notion to build the EEMD-PSO-LSSVM model movie box office prediction model. The historical box office data are first broken down into many components using the ensemble empirical modal decomposition technique, and then, distinct sequences are predicted using the least squares support vector machine prediction method with particle swarm optimization, and ultimately, the predictions for each sequence are combined. The experimental results demonstrate the effectiveness of the decomposition-integration technique in illustrating the data fluctuation characteristics of quarterly movie box office revenues. When compared to other models, the model proposed in this study has clear advantages in the problem of predicting the time series data of box office revenues that are non-linear, non-smooth, and non-large samples. Elsevier 2023-10-25 /pmc/articles/PMC10632694/ /pubmed/37954322 http://dx.doi.org/10.1016/j.heliyon.2023.e21211 Text en © 2023 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Ni, Yuan
Li, Siyuan
Decomposition-integration-based prediction study on the development trend of film industry
title Decomposition-integration-based prediction study on the development trend of film industry
title_full Decomposition-integration-based prediction study on the development trend of film industry
title_fullStr Decomposition-integration-based prediction study on the development trend of film industry
title_full_unstemmed Decomposition-integration-based prediction study on the development trend of film industry
title_short Decomposition-integration-based prediction study on the development trend of film industry
title_sort decomposition-integration-based prediction study on the development trend of film industry
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10632694/
https://www.ncbi.nlm.nih.gov/pubmed/37954322
http://dx.doi.org/10.1016/j.heliyon.2023.e21211
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