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<p>This paper aims to study how to innovate and develop the culture of the old industrial base of Northeast China in the environment of big data. In this paper, based on sorting out the big data processing process, a data mining model based on the Bayesian network is established, parameter learning is performed using great likelihood estimation, and the Bayes-Dilley scoring function is obtained by structure learning. Then, based on the trained network, the big data mining analysis is performed on the cultural industry of the old industrial base of northeast China and the northeast China cultural impression words on social networks. From 2018 to 2021, the successive annual growth values of the cultural industry of the old industrial base of northeast China are 119.835 billion yuan, 120.345 billion yuan, 115.764 billion yuan, 116.001 billion yuan, and the proportion of GDP increased from 2.11% raised to 2.38%. Among them, Jilin was raised from 2.14% to 2.46%, Heilongjiang from 2.65% to 2.72%, and Liaoning from 1.03% to 1.52%. The cultural innovation of the old industrial base in Northeast China under the environment of big data should abandon the traditional culture, find the cultural positioning, break through the thinking stereotype, create a new advanced culture, and change the ideology.</p>
</abstract>

This paper aims to study how to innovate and develop the culture of the old industrial base of Northeast China in the environment of big data. In this paper, based on sorting out the big data processing process, a data mining model based on the Bayesian network is established, parameter learning is performed using great likelihood estimation, and the Bayes-Dilley scoring function is obtained by structure learning. Then, based on the trained network, the big data mining analysis is performed on the cultural industry of the old industrial base of northeast China and the northeast China cultural impression words on social networks. From 2018 to 2021, the successive annual growth values of the cultural industry of the old industrial base of northeast China are 119.835 billion yuan, 120.345 billion yuan, 115.764 billion yuan, 116.001 billion yuan, and the proportion of GDP increased from 2.11% raised to 2.38%. Among them, Jilin was raised from 2.14% to 2.46%, Heilongjiang from 2.65% to 2.72%, and Liaoning from 1.03% to 1.52%. The cultural innovation of the old industrial base in Northeast China under the environment of big data should abandon the traditional culture, find the cultural positioning, break through the thinking stereotype, create a new advanced culture, and change the ideology.

Research on the cultural innovation system of the old industrial base of Northeast China under the environment of big data

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper aims to study how to innovate and develop the culture of the old industrial base of Northeast China in the environment of big data. In this paper,...

Research on the cultural innovation system of the old industrial base of Northeast China under the environment of big data

Online veröffentlicht: 02. Aug. 2023

Seitenbereich: -

Eingereicht: 04. Nov. 2022

Akzeptiert: 10. Feb. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00129

Schlüsselwörter
Big data, Bayesian network, Old industrial base of northeast China, Cultural innovation, Data mining

© 2023 Zhengyang Liu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the cultural innovation system of the old industrial base of Northeast China under the environment of big data

Online veröffentlicht: 02. Aug. 2023

Seitenbereich: -

Eingereicht: 04. Nov. 2022

Akzeptiert: 10. Feb. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00129

SchlüsselwörterBig data, Bayesian network, Old industrial base of northeast China, Cultural innovation, Data mining

© 2023 Zhengyang Liu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Big data, Bayesian network, Old industrial base of northeast China, Cultural innovation, Data mining